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Thursday, 3 September 2026

NPTL Ethics Notes week 3&4

Ethics in Engineering Practice (Week 3, Lectures 11–15) course material.

It synthesizes abstract moral frameworks with tangible IP mechanisms and legal statutes into a cohesive, structured study resource.

Ethics in Engineering Practice & Intellectual Property Rights

Course: Ethics in Engineering Practice | Instructor: Dr. Susmita Mukhopadhayay (VGSOM, IIT Kharagpur) Scope: Week 3 (Lectures 11–15)

1. Ethical Problem Solving & Analytical Decision-Making

Engineering decisions operate under real-world constraints where moral values, technical realities, and legal definitions intersect. Ethical theories provide the analytical lenses necessary to systematically resolve these dilemmas.

Core Ethical Frameworks

                   ┌─────────────────────────────────────────┐                       │    Ethical Analytical Perspectives      │                       └────────────────────┬────────────────────┘                                            │          ┌───────────────────┬─────────────┴─────────────┬───────────────────┐          ▼                   ▼                           ▼                   ▼    Utilitarianism       Duty Ethics                  Rights Ethics       Virtue Ethics (Consequentialist)     (Deontological)              (Rights-Based)      (Character-Based)  Maximize aggregate    Duty to rules (Kant)          Protect individual  Focus on integrity,  net benefit vs. cost   Honesty, fairness,           rights (Locke) to   competence, loyalty                        non-maleficence               life, liberty, prop.   vs. personal vices

Utilitarianism (Consequentialist): Maximizes overall societal benefit. Forms the technical foundation for cost–benefit analysis (highest benefit-to-cost ratio).
- Critical Pitfall: Tends to ignore non-monetary values (e.g., loss of biodiversity, displacement) and can obscure asymmetrical distributions of cost vs. benefit.
Duty Ethics (Kant / Deontological): Asserts that certain moral duties (honesty, fairness, non-maleficence) are absolute and imperative regardless of the outcome.
Rights Ethics (Locke): Focuses on protecting fundamental personal rights (life, liberty, property).
- Criticism: Conflicts occur when one party's rights infringe upon another's, making individual rights hard to balance against collective societal good.
Virtue Ethics: Focuses on developing professional character traits (responsibility, technical competence, loyalty) and eliminating vices (dishonesty, negligence).
Practical Application: Ethical decision-making does not require selecting a single framework; robust engineering decisions analyze dilemmas through multiple perspectives, which frequently converge on identical ethical conclusions.

Taxonomy of Engineering Issues & Analytical Techniques

                      ┌───────────────────────────────────┐                          │   Ethical Issue Categorization    │                          └─────────────────┬─────────────────┘                                            │          ┌─────────────────────────────────┼─────────────────────────────────┐          ▼                                 ▼                                 ▼    Factual Issues                  Conceptual Issues                   Moral Issues   Disputes over empirical data     Defining terms/scope               Applying moral principles   (e.g., climate predictions)      (e.g., "Gift" vs. "Bribe")        once facts & concepts align

Analytical Techniques for Complex Dilemmas

Line Drawing Method: Establishes a continuum between a Positive Paradigm (unquestionably ethical) and a Negative Paradigm (unquestionably unethical). Specific test cases are plotted along this axis to evaluate acceptability.

Historical Reference: Used to evaluate Intel's handling of the 1994–95 Pentium floating-point division flaw.

Flowcharting: Maps sequential decision nodes and downstream consequences to illuminate ethical friction points.

Historical Reference: Applied to analyze plant siting, safety cutbacks, and maintenance decisions in the Union Carbide Bhopal disaster.

Conflict Resolution & Creative Middle Ways: When fundamental moral duties conflict (e.g., public safety vs. employer confidentiality), engineers must prioritize public safety or engineer a "creative middle way"—a diplomatic compromise that satisfies core safety and duty obligations without unnecessary harm.

Step-by-Step Decision Framework & Professional Codes

[1. Moral Clarity] --> Identify core values at stake │ [2. Conceptual Clarity] --> Clarify key terms and definitions │ [3. Fact Gathering] --> Assemble empirical data and facts │ [4. Option Generation] --> Map out non-binary, creative alternatives │ [5. Satisficing Choice] --> Reach a well-reasoned decision (Herbert Simon)

The 8 Roles of Professional Codes of Ethics

Protect the public interest
Provide formal guidance
Offer professional inspiration
Establish shared domain standards
Support ethical professionals
Contribute to engineering education
Deter professional wrongdoing
Strengthen the profession's public image

2. Intellectual Property Rights (IPR) Framework

Intellectual Property (IP) comprises intangible human creations. Effective protection balances initial R&D expenditure against public access, mitigating free-riding while incentivizing technological innovation.
┌──────────────────────────────┐ │ Intellectual Property Types │ └──────────────┬───────────────┘ │ ┌─────────────────────────────┴─────────────────────────────┐ ▼ ▼ Industrial Property Copyright & Related • Patents (Inventions: 20 yrs) • Literary, Artistic, Software • Trademarks (Brand Identifiers) • Performer & Broadcast Rights • Industrial Designs (Aesthetics: 5–15 yrs) • Term: Author's Life + 60 yrs • Geographical Indications (Origin/Quality)

The IP Value Chain

\text{Creation} \longrightarrow \text{Innovation} \longrightarrow \text{Commercialization} \longrightarrow \text{Protection} \longrightarrow \text{Enforcement}

Comprehensive Summary of IP Protection Types

IP Category
Primary Scope & Subject Matter
Key Eligibility Criteria
Standard Protection Term

Patents
Technical inventions (products or manufacturing processes).
Industrial application, novelty, non-obvious step. (Excludes pure theories, natural discoveries).
~20 Years

Trademarks
Distinctive signs, logos, shapes, sound, or packaging identifying goods/services.
Distinctiveness; non-conflicting with prior marks.
10 Years (Indefinitely renewable)

Industrial Designs
Non-functional, aesthetic, ornamental appearance, shape, or pattern of an article.
Novelty and non-functionality (functional elements require patents).
5 Years (Renewable up to 15 years)

Geographical Indications
Signs identifying goods originating from a specific region linked to quality/reputation.
Geographical origin, specific quality attributable to region.
Varies by national framework

Copyright
Expressed literary, musical, artistic, software, and architectural works.
Originality of expression (protects expression, not underlying ideas).
Author's Life + 60 Years

3. Global & Indian Legal Frameworks (TRIPS & Legislation)

International trade agreements harmonize IP protection standards across borders, directly impacting national legal frameworks like India's.
┌─────────────────────────────────────┐ │ Global & Domestic Harmonization │ └──────────────────┬──────────────────┘ │ ┌────────────────────────────────────┴────────────────────────────────────┐ ▼ ▼ WTO / TRIPS Agreement Indian Domestic Statutes • Annex 1C of Marrakesh Agreement (1994) • Patents Act, 1970 (Amended '99, '02, '05) • Mandatory minimum global standards • Trade Marks Act, 1999 (In force 2003) • Balance: Trade flow vs. IP protection • Designs Act, 2000 • Doha Declaration (2001/03): Public Health & Compulsory Licensing • Copyright Act, 1957

TRIPS Multilateral Standards & Health Safeguards

Negotiated during the Uruguay Round (1986–94) under GATT, the TRIPS Agreement established enforceable global minimum protection standards across WTO member states.

Public Health & Doha Declaration (2001/2003): Reaffirmed that TRIPS should not prevent members from taking measures to protect public health. Allows countries to issue compulsory licenses for essential medicine manufacturing during national emergencies without consent from patent holders.

Evolution of Indian IP Statutes under TRIPS Compliance

1. Patents Act, 1970 Amendments

1999 Amendment: Introduced mailbox provisions retroactively to 1995 for pharmaceutical and agrochemical product patent applications.
2002 Amendment: Updated procedural guidelines, aligning with the updated Patent Rules (2003).
2005 Amendment: Granted full product patent protection across food, chemical, and pharmaceutical sectors, establishing complete TRIPS compliance.
Section 3(d) Safeguard: A unique Indian statutory provision that prevents the "evergreening" of patents by rejecting minor modifications of known chemical/pharmaceutical substances unless they demonstrate significantly enhanced known efficacy.

2. Trade Marks Act, 1999 (In force 2003)

Replaced the Trade and Merchandise Marks Act, 1958. Expanded protections to cover service marks, non-conventional marks (shapes, colors, packaging), single-class applications, and collective marks, while establishing cognizable offences for infringement.

3. Designs Act, 2000

Aligns registration with the international Locarno Classification system. Protects visual aesthetic properties for a initial term of 10 years (extendable by 5 years), excluding purely functional mechanical devices.

4. Copyright Act, 1957

Fully compliant with the Berne Convention and TRIPS standards. Protects original expressions for the author's lifetime plus 60 years (or 60 years post-release for films and sound recordings).

4. Synthesis & Quick Revision Table

Lecture
Domain Topic
Core Concepts & Analytical Focus
Key Statutory / Historical Anchors

11
Ethics as Design
Utilitarianism, Duty, Rights, Virtue Ethics; Line Drawing & Flowcharting; Issue Types (Factual, Conceptual, Moral).
Paradyne Computers Case, Intel Pentium (1994), Union Carbide Bhopal Disaster.

12–13
IPR & Ethics
Intangible Property Value Chain, Patents, Trademarks, Industrial Designs, GIs, Copyrights.
WIPO (est. 1970) international harmonization.

14
TRIPS Agreement
WTO Minimum Standards, Trade Distortion Prevention, Public Health Flexibilities.
Uruguay Round, Marrakesh Agreement, Doha Declaration (2001/2003).

15
Indian TRIPS Compliance
Statutory Overhauls, Pharma Evergreening Protections, Locarno Design Classification.
Patents Act Amendments ('99, '02, '05), Section 3(d), Trade Marks Act 1999, Designs Act 2000.

Contemporary Challenges in Engineering Ethics & IPR

Balancing patentability of life forms and biotechnology with public interest.
Integrating sui generis plant protection with native biodiversity preservation.
Navigating copyright enforcement, software ownership, and digital rights in modern internet ecosystems.

KVS REFERENCE SERIES

ETHICS IN ENGINEERING PRACTICE

Intellectual Property Law, Digital Ethics & Nuclear Responsibility

A Consolidated Academic Reference — Treaties, Case Law, and Applied Engineering Ethics

Section	Coverage
Part I	Paris Convention — Industrial Property (1883)
Part II	Berne Convention — Copyright (1886)
Part III	TRIPS Agreement — WTO Minimum Standards (1994)
Part IV	Patent Cooperation Treaty & WIPO (1970/1967)
Part V	Computers, Software & Digital Information Ethics
Part VI	Nuclear Ethics, Weapons & Engineering Responsibility

Prepared for: M.Tech — Project Engineering & Management (PEM)

Birsa Institute of Technology (BIT) Sindri · Jharkhand University of Technology (JUT), Ranchi

Part I Paris Convention — Industrial Property.......... 3

Part II Berne Convention — Copyright...................... 5

Part III TRIPS Agreement. 7

Part IV PCT & WIPO.......... 8

Part V Computers, Software & Digital Information....................... 9

Part VI Nuclear Ethics, Weapons & Engineering Responsibility................. 12

Comparative Exam Summary......................... 15

PART I

Paris Convention

Protection of Industrial Property — 20 March 1883 (entered into force 1884)

1. Treaty Foundations & Institutional Framework

● Statutory baseline: signed 20 March 1883 in Paris; entered into force 1884. Administered by WIPO; current membership stands at 181 Contracting States.

● Revision history: Brussels (1900) → Washington (1911) → The Hague (1925) → London (1934) → Lisbon (1958) → Stockholm Act (1967) → Amended (1979).

● Stockholm Act (1967): reorganised the administrative structure, integrated WIPO governance, and created the WIPO General Assembly.

● 1979 Amendment: final institutional modification, governing budget cycles and constitutional provisions.

2. Scope of Industrial Property — Article 1

● Article 1(2): covers Patents, Utility Models, Industrial Designs, Trademarks, Service Marks, Trade Names, Indications of Source / Appellations of Origin, and Repression of Unfair Competition.

● Article 1(3): industrial property is read in the broadest sense — it extends to manufactured and natural products, including agricultural produce (wine, grain, tobacco leaf, fruit, cattle) and extractive minerals.

3. Core Principles & Statutory Mechanisms

A. National Treatment (Articles 2 & 3)

● Each Contracting State must grant nationals of other member states the same protection and legal remedies it grants its own nationals — no residency or local establishment requirement.

● Article 3 (non-member provision): protection extends to persons domiciled, or holding a real and effective industrial/commercial establishment, in a Union country even if they are not nationals of one.

CASE LAW · Subafilms, Ltd. v. MGM-Pathe Communications Co.

24 F.3d 1088 (9th Cir. 1994, en banc)

Affirmed that IP rights remain strictly territorial under the Paris Convention framework — national treatment guarantees equal treatment within a state's own borders; it does not create extraterritorial liability.

B. Right of Priority (Article 4)

Right Type	Priority Window	Effect
Patents & Utility Models	12 months	Later filing treated as filed on the first (priority) date
Industrial Designs & Marks	6 months	Later filing treated as filed on the first (priority) date

● Legal shield effect: filings made within the priority window are immune to intervening acts in the interim — third-party filings, publication, or commercial exploitation cannot defeat the later application.

● Practical advantage: applicants gain a 6–12 month strategic window to decide in which countries to seek protection before committing to translation and filing costs.

● PCT alignment: this mechanism is the doctrinal foundation of the Patent Cooperation Treaty (1970), which lets a single international application preserve priority across 157 member states for up to 30/31 months from the priority date (see Part IV).

C. Common Rules & Statutory Guarantees

● Independence of patents (Article 4bis): patents for the same invention granted in different Contracting States are wholly independent — revocation in one country (e.g., via a USPTO Inter Partes Review) does not automatically invalidate a corresponding EPO or JPO grant.

● Right of the inventor (Article 4ter): the inventor has the absolute right to be named as such on the patent document.

● Independence of trademarks (Article 6): registration in one member state cannot be made conditional on registration in the country of origin; validity in one state does not depend on validity elsewhere.

● Well-known marks (Article 6bis): member states must refuse or cancel registration, and prohibit use, of a mark that reproduces, imitates, or translates a mark already well known in that state.

● Industrial designs: must be protected in every Contracting State; protection cannot be forfeited merely because articles bearing the design are not manufactured locally.

● Trade names: protected without any obligation to file or register.

● Unfair competition (Article 10bis): requires effective protection against acts contrary to honest industrial or commercial practice, explicitly prohibiting confusion-creating acts, false allegations discrediting a competitor, and misleading indications as to nature, process, or characteristics of goods.

PART II

Berne Convention

Protection of Literary and Artistic Works — 9 September 1886

1. Institutional Framework & Evolution

● Statutory baseline: signed 9 September 1886; current membership stands at 181 Contracting States.

● Revision history: Paris (1896) → Berlin Act (1908) → Berne (1914) → Rome Act (1928) → Brussels (1948) → Stockholm (1967) → Paris Act (1971) → Amended (1979).

● Berlin Act (1908): abolished formal registration requirements, establishing the principle of automatic protection.

● Rome Act (1928): explicitly introduced Moral Rights (Article 6bis).

● Paris Act (1971): added special provisions for developing countries via a dedicated Appendix (compulsory licensing for translation/reproduction in education).

2. Three Basic Principles

Principle	Article	Core Rule
National Treatment	Art. 5(1)	Foreign authors from Union countries receive the same rights domestic law grants its own nationals
Automatic Protection	Art. 5(2)	Protection requires no registration, notice, or formality — it attaches on fixation
Independence of Protection	Art. 5(2)	Protection in a member state is independent of protection existing in the work's country of origin

A qualifying refinement sits alongside independence: under the Rule of the Shorter Term (Article 7(8)), a Contracting State is not obliged to grant a longer term of protection than the work already enjoys in its country of origin — independence of protection and the shorter-term rule operate together rather than in tension.

3. Economic & Moral Rights Infrastructure

Economic Rights (Articles 8–14)

● Translation (Art. 8) · Reproduction in any manner or form (Art. 9) · Public performance of dramatic, dramatico-musical and musical works (Art. 11) · Broadcasting (Art. 11bis) · Adaptation and arrangement (Art. 12) · Use as the basis for an audiovisual work, and reproduction/distribution/performance of that resulting audiovisual work (Art. 14).

Moral Rights (Article 6bis)

● Right of attribution (paternity): the right to claim authorship of the work.

● Right of integrity: the right to object to distortion, mutilation, or modification prejudicial to the author's honour or reputation.

CASE LAW · Snow v. The Eaton Centre Ltd.

70 C.P.R. (2d) 105 (Ont. H.C., 1982, Canada)

Attaching Christmas ribbons to sculptor Michael Snow's flying-goose installation without consent was held to violate the artist's right of integrity — a foundational moral-rights precedent even in a jurisdiction outside Berne's civil-law origins.

4. Duration of Protection (Article 7)

Work Type	Minimum Duration
General rule (literary/artistic works)	50 years after the author's death (life + 50)
Anonymous / pseudonymous works	50 years after the work is lawfully made available to the public
Audiovisual (cinematographic) works	50 years after release, or from creation if unreleased
Works of applied art & photographic works	25 years from the making of the work

Rule of the Shorter Term (Article 7(8)): a Contracting State need not grant protection longer than that fixed in the work's country of origin, unless its own domestic law provides otherwise.

5. Limitations, Exceptions & the Three-Step Test

● Article 9(2) — the Three-Step Test: any exception permitting reproduction without authorisation must (1) be confined to certain special cases, (2) not conflict with normal exploitation of the work, and (3) not unreasonably prejudice the legitimate interests of the author. This test is the master template later reused, almost verbatim, in TRIPS Article 13 and the WIPO Copyright Treaty.

● Article 10: quotations and use of works for teaching purposes are permitted as free uses.

● Article 10bis: reproduction of newspaper/periodical articles and reporting of current events.

● Article 11bis(3): ephemeral recordings made by a broadcasting organisation for its own broadcasts.

● Appendix (developing countries): non-voluntary (compulsory) licences for translation and reproduction in educational contexts.

6. Berne Convention and the TRIPS Interlock

● Article 9.1 of TRIPS obliges WTO members to comply with Berne Articles 1 through 21 and the Appendix — effectively folding Berne's substantive standards into WTO trade law.

● Moral rights carve-out: TRIPS explicitly excludes Berne Article 6bis (moral rights) from the WTO's dispute-settlement enforcement mechanism — a state can be compelled to fix economic-rights violations through WTO panels, but not moral-rights violations.

● Enforcement leverage: this interlock is what gives Berne's otherwise soft international-law standards real teeth, by attaching them to the WTO's binding dispute-settlement system.

● Most-Favoured-Nation treatment: TRIPS layers an MFN obligation on top of Berne's national treatment — any IP advantage granted to nationals of one WTO member must be extended to all.

● Computer programs & databases: TRIPS Article 10 protects computer programs as literary works under Berne, and compilations of data as such by virtue of the selection/arrangement of their contents.

● Rental rights: TRIPS recognises an exclusive rental right for computer programs and, in most cases, cinematographic works — a right not found in the original Berne text.

PART III

TRIPS Agreement

Trade-Related Aspects of Intellectual Property Rights — 1994

1. Overview

● Established: 1994, concluded during the Uruguay Round of GATT negotiations; Administered by: the World Trade Organization (WTO), effective 1 January 1995.

● Purpose: to narrow the gaps in how IP is protected around the world by bringing it under common, trade-enforceable international rules.

● Core strategy: sets binding minimum standards of protection, leaving states free to legislate more extensive protection ('TRIPS-plus') if they choose.

2. Key Legal Principles

● National Treatment (Art. 3): each member must treat nationals of other members no less favourably than its own nationals with regard to IP protection.

● Most-Favoured-Nation Treatment (Art. 4): any advantage granted to nationals of one member must be extended immediately and unconditionally to nationals of all other members — a principle absent from Paris and Berne themselves.

3. IP Coverage and Minimum Standards

Right	Minimum Standard under TRIPS
Patents (Art. 27–34)	Available for products and processes in all fields of technology, subject to novelty, inventive step and industrial applicability
Patent term (Art. 33)	Minimum 20 years from the filing date
Copyright (Art. 9–14)	Incorporates Berne Arts. 1–21; extends explicit protection to computer programs and data compilations
Trademarks (Art. 15–21)	Any sign capable of distinguishing goods/services; minimum 7-year term per registration, indefinitely renewable
Trade secrets (Art. 39)	Undisclosed information protected against acquisition/use contrary to honest commercial practice
Industrial designs (Art. 25–26)	Minimum 10 years of protection for new or original designs

4. Engineering Ethics Connection

● Technology transfer (Art. 7, 66.2): TRIPS frames IP protection as a balance between rewarding innovation and promoting the transfer/dissemination of technology — a tension engineers in developing economies confront directly when licensing patented processes.

● Public-health flexibilities (Doha Declaration, 2001; TRIPS Art. 31): permits compulsory licensing so that governments can override a patent — with compensation — to prevent monopolistic pricing from blocking access to essential medicines and technologies, a live case being generic antiretroviral and, later, COVID-19 vaccine manufacturing debates.

● Engineer's dilemma: an engineer designing around, licensing, or challenging a patented process must weigh contractual/IP obligations against the broader public-interest flexibilities the treaty itself preserves.

PART IV

PCT & WIPO

Patent Cooperation Treaty (1970) and the World Intellectual Property Organization (1967)

1. Overview of WIPO

● Established: convention signed 1967, entered into force 1970; became a specialised agency of the United Nations in 1974.

● Headquarters: Geneva, Switzerland.

● Mandate: to promote a balanced and accessible international IP system that rewards creativity, stimulates innovation, and contributes to economic development, while safeguarding the public interest.

● WIPO administers the Paris Convention, the Berne Convention, the PCT, the Madrid System (trademarks), and over 20 other IP treaties.

2. The Patent Cooperation Treaty (PCT) Framework

● Purpose: to simplify and unify the process of seeking patent protection for the same invention in multiple countries simultaneously.

● Single-application rule: one 'international' application, filed in one language at one office, has the legal effect of a national filing in each of the over 150 PCT Contracting States the applicant designates.

● Does not grant patents: the PCT streamlines filing and search, but the actual examination and grant of a patent always remains under the sovereign control of each national or regional patent office.

3. Two-Phase PCT Process

International Phase

● Step 1 — Filing: a single international application is filed with a Receiving Office, establishing an international filing date recognised in every designated state.

● Step 2 — International Search & Opinion: an International Searching Authority issues an International Search Report (ISR) and a written opinion on patentability (novelty, inventive step, industrial applicability).

● Step 3 — International Publication: the application, together with the ISR, is published roughly 18 months after the priority date.

● Optional Chapter II: the applicant may request a supplementary International Preliminary Examination, giving a more reasoned preliminary view before committing to national costs.

National Phase

● Step 4 — National processing: on entry into the national phase (up to 30/31 months from priority), each designated patent office independently examines and decides whether to grant a patent under its own domestic law.

4. Practical Engineering Advantages

● Cost deferral: postpones the heavy costs of foreign translation and per-country official fees by up to 30 months from the priority date, freeing capital during early R&D.

● Strategic assessment: the ISR and written opinion give an engineer or inventor a preliminary, evidence-based read on patentability *before* committing significant funds to a global filing strategy.

● Priority linkage: the PCT builds directly on the Paris Convention's 12-month priority window (Part I) — an applicant typically files a first national application, then files the PCT application within 12 months to lock in that priority date worldwide.

PART V

Computers, Software & Digital Information

Technology Ethics, Software IP, and Engineering Safety Failures

1. The Four Major Issues in Computer Ethics

A widely used framework (Mason's 4Ps) organises computer-ethics concerns into four recurring pressure points:

Dimension	Central Concern
Power	Job displacement, algorithmic bias, autonomous weapons, market-manipulating trading algorithms
Property	Embezzlement, data theft, software piracy, breach of licensing terms
Privacy	Unauthorised access, inaccurate records, hacking, surveillance
Professional Responsibility	Software failures with physical consequences, engineer's duty of care, ergonomic design

A. Power — Real-World Case Realities

● Automation & displaced labour: Amazon's Kiva robotics deployment substituted a substantial share of manual warehouse-sorting roles — illustrating the tension between operational efficiency and workforce impact that engineers designing automation systems must weigh.

● Algorithmic bias — the COMPAS case: ProPublica's 2016 investigation into the COMPAS recidivism-risk algorithm found it flagged Black defendants as future re-offenders at roughly twice the false-positive rate of white defendants, traced to biased historical arrest data used in training. This remains a foundational case study in why 'neutral' code trained on biased data reproduces that bias.

● Algorithmic stock trading — the 2010 Flash Crash: on 6 May 2010 the Dow Jones Industrial Average dropped nearly 1,000 points within minutes, driven by a feedback loop among high-frequency trading algorithms, prompting the SEC to mandate circuit breakers.

● Autonomous weapons (LAWS): systems capable of independently selecting and engaging targets — such as reported Kargu-2 drone use in Libya (2020) — raise proportionality and human-oversight concerns under International Humanitarian Law (Geneva Conventions, Art. 51/57).

B. Property — Data & Software

● Embezzlement and fund transfer: electronic systems allow millions of dollars to move in seconds, and compromised telecommunication systems have historically enabled large-scale fraud and extortion.

● Two structural risk factors: (1) speed and geographic reach allow mass victimisation almost instantly, and (2) the difficulty of tracing digital transactions makes perpetrators hard to catch.

● Data and software theft: ranges from employee misappropriation and cheating of clients to breach of software-sale contracts and reverse-engineering in violation of licence terms.

C. Privacy

● Inappropriate access: weak security allows hackers to reach personal or organisational financial data, sometimes with consequences severe enough to bankrupt individuals or firms.

● Record errors: mismatched or stale records — wrong photos attached to criminal files, a cleared loan not updated in the system — can cause serious downstream harm to innocent people.

● Hackers and Trojan horses: malicious code embedded in legitimate-looking programs can choke networks, spread disinformation, erase files, and destroy equipment — a direct violation of property rights as well as privacy.

2. Intellectual Property Rights in Software

● Copyright: protects source code and its compiled binary form as a literary work (US Copyright Act, 17 U.S.C. §101; TRIPS Art. 10).

● Patents: protect technical, non-abstract software-implemented inventions tied to a physical or technical effect (contrast the European Patent Convention's Art. 52(2) exclusion of 'programs for computers as such' with the US framework in *Alice Corp. v. CLS Bank International*, 573 U.S. 208 (2014), which requires an 'inventive concept' beyond an abstract idea).

● Trade secret protection is often preferred over patenting for algorithms and source code that can be kept confidential, since it avoids public disclosure and has no fixed expiry — provided reasonable secrecy measures are maintained (TRIPS Art. 39).

CASE LAW · Lotus Development Corp. v. Borland International, Inc.

516 U.S. 233 (1996), affirming 49 F.3d 807 (1st Cir. 1995)

Held that the menu-command hierarchy of Lotus 1-2-3 is an uncopyrightable 'method of operation' under §102(b) — expressive code is copyrightable, but the functional command structure a user operates is not. This case grew out of the earlier dispute Lotus Development Corp. v. Paperback Software International (740 F. Supp. 37, D. Mass. 1990), which first tested how far copyright reaches into a program's functional interface.

CASE LAW · Google LLC v. Oracle America, Inc.

593 U.S. 1 (2021)

Held that Google's use of roughly 11,500 lines of Java SE API 'declaring code' to build the Android platform was fair use as a matter of law — a landmark ruling protecting interoperability and re-implementation of functional interfaces in software engineering.

3. Critical Safety-System Failures in Software Engineering

Therac-25 Radiation Therapy Disaster (1985–1987)

● Root cause: a software race condition triggered when an operator entered commands too quickly, compounded by the removal of hardware safety interlocks present in the earlier Therac-20 (which had relied on hardware, not software, to prevent overdose), reused software logic, and poor error-handling that allowed operation to continue after fault codes appeared.

● Impact: at least six documented massive overdoses, delivering roughly 100 times the intended radiation dose, directly causing multiple patient deaths and severe, permanent injury.

● Engineering lesson: software cannot be the sole safety layer for a system capable of lethal harm — defense-in-depth (Part VI) applies as much to medical devices as to nuclear plants.

Boeing 737 MAX — MCAS Failures (2018–2019)

● Root cause: the Maneuvering Characteristics Augmentation System relied on a single Angle-of-Attack (AoA) sensor without cross-checking a redundant second sensor, pilots were not clearly informed of the system's existence or behaviour in flight manuals, and repeated automatic nose-down commands were not straightforwardly overridable in the moment.

● Impact: the crashes of Lion Air Flight 610 (October 2018) and Ethiopian Airlines Flight 302 (March 2019) killed a combined 346 people, leading to a worldwide grounding of the aircraft type and a major overhaul of FAA certification review processes.

4. Distinctive Characteristics of Digital Information

● Digital information has no tangible form, yet carries high intrinsic economic value.

● When pirated, the original is not gone — a licensed copy of software can be resold or reused without the rightsholder's knowledge, unlike theft of a physical good.

● It is trivially easy to create unlicensed copies, threatening both artistic integrity and commercial return on investment.

● Once made available in an open online forum, digital content is easy to copy and redistribute at near-zero marginal cost.

5. Challenges of the Information Age

● Authentication: it is far harder to verify identity online than in person — anyone can misrepresent who or what they are.

● Phishing: deceptive communications designed to extract financial or personal information under false pretences.

● Spam: unsolicited bulk messaging or advertisement sent without the recipient's consent.

● Hacking, dual meaning: can refer to a benign, clever repurposing of a system in ways it wasn't designed for, or to unauthorised, illegal access — the ethical line typically turns on consent, intent, and proportional harm.

PART VI

Nuclear Ethics, Weapons & Engineering Responsibility

Deterrence Theory, Non-Proliferation Law, and Reactor Safety

1. The Fundamental Ethical Dilemma

Nuclear ethics sits at the intersection of strategic deterrence — grounded in realpolitik and national defence — and categorical prohibition, grounded in humanitarian risk and planetary survival. Every stance in this field is ultimately a resolution (explicit or implicit) of that tension.

2. Philosophical Analysis of Nuclear Deterrence

A. Utilitarian Perspective (Bentham, Mill)

● Pro-deterrence argument: maintained nuclear capability has coincided with the avoidance of direct great-power war since 1945 — the so-called 'Long Peace' — offered as evidence that mutual deterrence maximises aggregate welfare by preventing conflict.

● Anti-deterrence argument: as the time horizon extends, the cumulative probability of an exchange through miscalculation, cyber intrusion, or system failure trends toward certainty over the long run, and the resulting harm would be so asymmetrically catastrophic that it overwhelms any accumulated stability benefit — a classic 'low probability, unbounded severity' utilitarian problem.

● Historical near-misses are central evidence in this debate:

○ 1962 Cuban Missile Crisis: Soviet naval officer Vasili Arkhipov refused to authorise a nuclear-torpedo launch from submarine B-59 despite pressure from other officers, a single dissenting vote often credited with averting escalation.

○ 1983 Petrov incident: Lieutenant Colonel Stanislav Petrov correctly identified a Soviet early-warning system (Oko) report of incoming US missiles as a false alarm, declining to relay it up the chain of command.

B. Deontological Perspective (Kant)

● Formula of Universal Law: a policy premised on the threat of indiscriminate mass destruction of non-combatants cannot be willed as a universal law without contradiction — it fails Kant's core test for a permissible maxim.

● Formula of Humanity: using civilian populations as deterrence collateral treats human beings purely as a means to a strategic end, rather than as ends in themselves — a direct violation of Kantian moral duty regardless of the consequences achieved.

3. International Treaties & the Non-Proliferation Regime

Treaty	Year	Core Obligation
Non-Proliferation Treaty (NPT)	1968	Three pillars: Non-proliferation (Arts. I–II), Peaceful use of nuclear energy (Art. IV), Disarmament (Art. VI)
Comprehensive Test-Ban Treaty (CTBT)	1996	Bans all nuclear explosions in any environment; 187 signatories, not yet in force (Annex 2 states incomplete)
Treaty on the Prohibition of Nuclear Weapons (TPNW)	2017 / in force 2021	First treaty to comprehensively ban development, testing, possession, and threat of use of nuclear weapons

● Recognised Nuclear Weapon States under the NPT: United States, Russia, United Kingdom, France, China.

● States possessing weapons outside the NPT framework: India, Pakistan, Israel (undeclared), North Korea (withdrew from NPT in 2003).

● CTBT status: despite 187 signatories, the treaty has not formally entered into force because eight 'Annex 2' states with nuclear technology — including the US, China, Egypt, Iran, Israel, North Korea, Pakistan, and India — have not all ratified it.

4. Technical Disasters & Engineering Safety Culture

Chernobyl Nuclear Power Plant (26 April 1986)

● Engineering failure: the RBMK-1000 reactor's positive void coefficient (power output rising as coolant boiled away) combined with graphite-tipped control rods that briefly increased reactivity on insertion, during a flawed safety test that had bypassed emergency cooling protocols.

● Consequence: a catastrophic power excursion and explosion, releasing large quantities of radioactive material and forcing the permanent evacuation of the surrounding exclusion zone.

Fukushima Daiichi Disaster (11 March 2011)

● Engineering failure: a seawall designed for roughly 10 metres of wave height proved inadequate against a tsunami exceeding 14 metres, and backup diesel generators were located in flood-prone basements rather than elevated, protected positions — a failure to design for cascading, correlated natural-hazard events (earthquake plus tsunami together, not independently).

● Consequence: loss of cooling led to three reactor meltdowns and the largest nuclear release since Chernobyl, prompting a global reassessment of siting and flood-defence assumptions in reactor design.

Engineering Safety Imperatives

● Defense in depth: redundant, diverse, and independent safety layers, so that no single point of failure — mechanical, software, or human — can cause a catastrophic outcome.

● Whistleblower protection & the duty to report: engineers carry a professional duty to report safety compromises even against institutional or commercial pressure (IEEE Code of Ethics, §1; NSPE Code of Ethics, §1) — a duty consistently reinforced across the IAEA's own code of conduct for nuclear operators.

5. IAEA Code of Ethics for Nuclear Agencies

● Adopt a conservative, risk-based approach to decision-making.

● Place safety before commercial gain in every instance.

● Accept personal responsibility for one's own and others' safety.

● Integrate safety and environmental considerations into core business practice, not as an afterthought.

● Ensure effective communication between the Board and operational management.

● Communicate openly and honestly with regulators, employees, and stakeholders.

● Maintain a 'blame-free' reporting culture that encourages disclosure of near-misses.

● Openly share operating experience with other organisations across the industry.

● Participate objectively and transparently in public energy-supply discussions.

● Show zero tolerance for bribery and corruption.

● Ensure nuclear materials are never illegally sold or distributed.

● Be a good neighbour and active supporter of the local community.

6. The Engineer's Ethical Position — A Synthesis

● Utilitarian route: if a credible deterrence balance measurably reduces the probability of major war, an engineer can defend continued technical work on deterrent capability as serving the greater good — provided the underlying probability and severity estimates are honestly examined, not assumed.

● Deontological route: because any credible deterrent ultimately rests on a willingness to inflict indiscriminate harm on non-combatants, an engineer applying Kantian duty-based reasoning may conclude that contributing to such systems is impermissible regardless of the strategic benefit claimed.

● Practical convergence: across both frameworks, the undisputed common ground is that engineers working in this domain carry a heightened, non-negotiable duty of technical rigor, transparency, and refusal to normalise unsafe practice — the Petrov and Arkhipov cases show individual professional judgment, not just institutional design, as the last line of defense.

QUICK REVISION

Comparative Exam Summary

Framework	Domain	Defining Mechanism
Paris Convention (1883)	Industrial Property	National Treatment + Right of Priority (12m patents / 6m designs & marks)
Berne Convention (1886)	Copyright	Automatic Protection + Moral Rights + Three-Step Test
TRIPS Agreement (1994)	Global Minimum Standards	National Treatment + MFN Treatment, enforced via WTO dispute settlement
PCT / WIPO (1967 / 1970)	Patent Filing Procedure	Single international application → International + National phase
Computer Ethics	Digital Systems	4Ps: Power, Property, Privacy, Professional Responsibility
Nuclear Ethics	Weapons & Reactor Safety	Utilitarian Risk vs. Deontological Prohibition; Defense in Depth

KVS Reference Series · Ethics in Engineering Practice

Sub section 1.2

इंजीनियरिंग प्रैक्टिस में नैतिकता

बौद्धिक संपदा कानून, डिजिटल नैतिकता एवं परमाणु उत्तरदायित्व

एक समेकित अकादमिक संदर्भ — संधियाँ, न्यायिक मामले तथा अनुप्रयुक्त इंजीनियरिंग नैतिकता

विषय-वस्तु का क्षेत्र

भाग	विषय-वस्तु
भाग I	पेरिस कन्वेंशन — औद्योगिक संपदा (1883)
भाग II	बर्न कन्वेंशन — कॉपीराइट (1886)
भाग III	TRIPS समझौता — WTO के न्यूनतम मानक (1994)
भाग IV	Patent Cooperation Treaty (PCT) एवं WIPO (1970/1967)
भाग V	कंप्यूटर, सॉफ्टवेयर एवं डिजिटल सूचना नैतिकता
भाग VI	परमाणु नैतिकता, परमाणु हथियार एवं इंजीनियरिंग उत्तरदायित्व

तैयार किया गया:
M.Tech — Project Engineering & Management (PEM)
Birsa Institute of Technology (BIT) Sindri · Jharkhand University of Technology (JUT), Ranchi

विषय-सूची

भाग I — पेरिस कन्वेंशन — औद्योगिक संपदा .......... 3
भाग II — बर्न कन्वेंशन — कॉपीराइट .......... 5
भाग III — TRIPS समझौता .......... 7
भाग IV — PCT एवं WIPO .......... 8
भाग V — कंप्यूटर, सॉफ्टवेयर एवं डिजिटल सूचना .......... 9
भाग VI — परमाणु नैतिकता, हथियार एवं इंजीनियरिंग उत्तरदायित्व .......... 12
तुलनात्मक परीक्षा सारांश .......... 15

भाग I

पेरिस कन्वेंशन

औद्योगिक संपदा का संरक्षण — 20 मार्च 1883 (प्रवर्तन 1884)

1. संधि की आधारभूत संरचना एवं संस्थागत ढाँचा

वैधानिक आधार: पेरिस में 20 मार्च 1883 को हस्ताक्षर; 1884 में लागू। WIPO द्वारा प्रशासित।
वर्तमान सदस्यता: 181 Contracting States।
संशोधन इतिहास:
Brussels (1900) → Washington (1911) → The Hague (1925) → London (1934) → Lisbon (1958) → Stockholm Act (1967) → Amendment (1979)।
Stockholm Act (1967): प्रशासनिक संरचना को पुनर्गठित किया, WIPO शासन-व्यवस्था को समेकित किया तथा WIPO General Assembly की स्थापना की।
1979 Amendment: बजट चक्रों तथा संवैधानिक प्रावधानों से संबंधित अंतिम संस्थागत संशोधन।

2. औद्योगिक संपदा का क्षेत्र — Article 1

Article 1(2): इसमें निम्न शामिल हैं:
- पेटेंट (Patents)
- उपयोगिता मॉडल (Utility Models)
- औद्योगिक डिजाइन (Industrial Designs)
- ट्रेडमार्क (Trademarks)
- सेवा चिह्न (Service Marks)
- व्यापारिक नाम (Trade Names)
- स्रोत के संकेत / मूल-स्थान के नाम (Indications of Source / Appellations of Origin)
- अनुचित प्रतिस्पर्धा का दमन (Repression of Unfair Competition)
Article 1(3): औद्योगिक संपदा की व्याख्या व्यापक अर्थ में की जाती है। इसमें निर्मित तथा प्राकृतिक दोनों प्रकार के उत्पाद शामिल हैं, जैसे:
- शराब (Wine)
- अनाज (Grain)
- तंबाकू की पत्ती
- फल
- पशुधन
- खनिज

3. मूल सिद्धांत एवं वैधानिक व्यवस्थाएँ

A. राष्ट्रीय उपचार (National Treatment) — Articles 2 एवं 3

प्रत्येक Contracting State को अन्य सदस्य देशों के नागरिकों को वही सुरक्षा एवं कानूनी उपचार प्रदान करना चाहिए जो वह अपने नागरिकों को देता है।
इसके लिए दूसरे देश के नागरिक के लिए स्थानीय निवास या स्थानीय व्यावसायिक प्रतिष्ठान की अनिवार्यता नहीं होनी चाहिए।
Article 3: गैर-सदस्य देश के व्यक्ति को भी संरक्षण मिल सकता है यदि वह Union country में:
- domiciled हो, अथवा
- वास्तविक एवं प्रभावी औद्योगिक/वाणिज्यिक प्रतिष्ठान रखता हो।

केस लॉ — Subafilms, Ltd. v. MGM-Pathe Communications Co.

24 F.3d 1088 (9th Cir. 1994, en banc)

इस मामले ने स्पष्ट किया कि Paris Convention के अंतर्गत IP अधिकार सख्ती से क्षेत्रीय (territorial) होते हैं।
National Treatment का अर्थ किसी देश की अपनी सीमाओं के भीतर समान व्यवहार है।
इससे दूसरे देशों में स्वतः extraterritorial liability उत्पन्न नहीं होती।

B. प्राथमिकता का अधिकार (Right of Priority) — Article 4

अधिकार	प्राथमिकता अवधि	प्रभाव
पेटेंट एवं उपयोगिता मॉडल	12 महीने	बाद की filing को पहली filing की priority date का लाभ मिलता है
औद्योगिक डिजाइन एवं ट्रेडमार्क	6 महीने	बाद की filing को पहली filing की priority date का लाभ मिलता है

कानूनी सुरक्षा प्रभाव

Priority window के भीतर की गई बाद की filings को बीच की अवधि में हुए कुछ intervening acts से सुरक्षा मिलती है।
उदाहरण:
- तीसरे पक्ष की filing
- publication
- commercial exploitation

इनसे बाद की priority-based application के अधिकार स्वतः नष्ट नहीं होते।

व्यावहारिक लाभ

आवेदक को 6–12 महीने की रणनीतिक अवधि मिलती है।
इस दौरान वह यह तय कर सकता है कि किन देशों में protection लेना है।
इससे translation तथा country-specific filing costs की योजना बनाई जा सकती है।

PCT से संबंध

Paris Convention का यह priority mechanism Patent Cooperation Treaty (PCT), 1970 की आधारभूत अवधारणा है।

PCT के माध्यम से एक international application द्वारा अनेक देशों में patent protection की प्रक्रिया को सुव्यवस्थित किया जा सकता है, जबकि priority का दावा सामान्यतः पहली filing से 12 महीने के भीतर किया जाता है।

C. सामान्य नियम एवं वैधानिक गारंटी

Patents की स्वतंत्रता — Article 4bis

एक ही invention के लिए विभिन्न Contracting States में दिए गए patents एक-दूसरे से स्वतंत्र होते हैं।
किसी एक देश में patent का revocation दूसरे देश में संबंधित patent को स्वतः समाप्त नहीं करता।

Inventor का अधिकार — Article 4ter

Inventor को patent document में आविष्कारक के रूप में नामित होने का अधिकार है।

Trademarks की स्वतंत्रता — Article 6

किसी देश में trademark registration को दूसरे देश में registration पर निर्भर नहीं बनाया जा सकता।
एक देश में trademark की validity दूसरे देश में उसकी validity पर निर्भर नहीं होती।

Well-Known Marks — Article 6bis

सदस्य देशों को ऐसे well-known mark की registration को अस्वीकार या रद्द करना चाहिए तथा उसके ऐसे उपयोग को रोकना चाहिए जो:

reproduce करता हो,
imitate करता हो, या
translate करता हो

और जिससे well-known mark के साथ भ्रम उत्पन्न हो।

Industrial Designs

Contracting States में industrial designs को protection दिया जाना चाहिए।
केवल इसलिए protection समाप्त नहीं किया जा सकता कि design वाले articles का स्थानीय निर्माण नहीं हो रहा है।

Trade Names

Trade names को registration या filing की अनिवार्यता के बिना संरक्षण प्राप्त होता है।

Unfair Competition — Article 10bis

प्रभावी संरक्षण आवश्यक है उन कार्यों के विरुद्ध जो honest industrial या commercial practice के विपरीत हों।

विशेष रूप से:

confusion उत्पन्न करने वाले कार्य,
competitor को बदनाम करने वाले झूठे आरोप,
goods की nature, process या characteristics के संबंध में misleading indications।

भाग II

बर्न कन्वेंशन

साहित्यिक एवं कलात्मक कृतियों का संरक्षण — 9 सितंबर 1886

1. संस्थागत ढाँचा एवं विकास

वैधानिक आधार: 9 सितंबर 1886 को हस्ताक्षर।
वर्तमान सदस्यता: 181 Contracting States।
संशोधन इतिहास: Paris (1896) → Berlin Act (1908) → Berne (1914) → Rome Act (1928) → Brussels (1948) → Stockholm (1967) → Paris Act (1971) → Amendment (1979)।

Berlin Act (1908)

Formal registration requirements को समाप्त किया।
Automatic Protection के सिद्धांत को मजबूत किया।

Rome Act (1928)

Moral Rights — Article 6bis को स्पष्ट रूप से शामिल किया।

Paris Act (1971)

Developing countries के लिए विशेष provisions जोड़े गए।
शिक्षा के संदर्भ में translation तथा reproduction के compulsory licensing से संबंधित provisions शामिल किए गए।

2. तीन मूल सिद्धांत

सिद्धांत	Article	मुख्य नियम
National Treatment	Art. 5(1)	विदेशी authors को वही अधिकार जो domestic law अपने nationals को देता है
Automatic Protection	Art. 5(2)	Registration, notice या अन्य formalities के बिना protection
Independence of Protection	Art. 5(2)	किसी सदस्य देश में protection उसके origin country की protection से स्वतंत्र

Rule of the Shorter Term — Article 7(8)

एक Contracting State को सामान्यतः उस work को उसके country of origin में उपलब्ध protection period से अधिक लंबी अवधि की protection देना आवश्यक नहीं है, जब तक उसका domestic law अलग व्यवस्था न करे।

इस प्रकार:

Independence of Protection + Rule of the Shorter Term दोनों साथ-साथ लागू होते हैं।

3. आर्थिक एवं नैतिक अधिकार

A. Economic Rights — Articles 8–14

इनमें प्रमुख रूप से शामिल हैं:

Translation — Art. 8
Reproduction — Art. 9
Public Performance — Art. 11
Broadcasting — Art. 11bis
Adaptation & Arrangement — Art. 12
Audiovisual Works के आधार के रूप में उपयोग — Art. 14

B. Moral Rights — Article 6bis

Attribution / Paternity Right

लेखक को अपनी कृति के authorship का दावा करने का अधिकार है।

Integrity Right

लेखक को अपनी कृति में ऐसे distortion, mutilation या modification का विरोध करने का अधिकार है जो उसके honour या reputation को नुकसान पहुँचाए।

केस लॉ — Snow v. The Eaton Centre Ltd.

70 C.P.R. (2d) 105 (Ont. H.C., 1982, Canada)

Sculptor Michael Snow की flying-goose installation पर बिना अनुमति Christmas ribbons लगाए गए।
इसे artist के right of integrity का उल्लंघन माना गया।
यह moral-rights का एक महत्वपूर्ण उदाहरण है।

4. संरक्षण की अवधि — Article 7

कृति का प्रकार	न्यूनतम अवधि
सामान्य साहित्यिक/कलात्मक कृतियाँ	लेखक की मृत्यु के बाद 50 वर्ष
Anonymous / Pseudonymous works	सार्वजनिक रूप से उपलब्ध होने के बाद 50 वर्ष
Audiovisual/Cinematographic works	Release के बाद या unreleased होने पर creation से 50 वर्ष
Applied Art एवं Photographic works	Creation से 25 वर्ष

Rule of the Shorter Term — Article 7(8):
देश को origin country में उपलब्ध अवधि से अधिक protection देना आवश्यक नहीं, जब तक domestic law अन्यथा न कहे।

5. सीमाएँ, अपवाद एवं Three-Step Test

Article 9(2) — Three-Step Test

Reproduction के बिना authorization की अनुमति देने वाला कोई exception:

केवल कुछ विशेष मामलों तक सीमित होना चाहिए;
work के normal exploitation से conflict नहीं करना चाहिए;
author के legitimate interests को अनुचित रूप से नुकसान नहीं पहुँचाना चाहिए।

यह framework बाद में TRIPS Article 13 तथा WIPO Copyright Treaty में भी दिखाई देता है।

Article 10

Quotations की अनुमति।
Teaching purposes के लिए works के कुछ उपयोग की अनुमति।

Article 10bis

Newspaper/periodical articles की reproduction।
Current events की reporting।

Article 11bis(3)

Broadcasting organisation द्वारा अपने broadcasts के लिए ephemeral recordings।

Appendix

Developing countries के लिए education से संबंधित translation एवं reproduction के non-voluntary/compulsory licences।

6. Berne Convention एवं TRIPS का संबंध

TRIPS Article 9.1 WTO Members को Berne Convention के Articles 1–21 एवं Appendix के substantive provisions का पालन करने के लिए बाध्य करता है।
Moral Rights Exception: TRIPS, Berne Article 6bis को WTO dispute-settlement enforcement से बाहर रखता है।
Economic-rights violations पर WTO mechanism लागू हो सकता है, लेकिन moral-rights violations उसी तरीके से enforce नहीं किए जाते।
TRIPS, Berne के National Treatment के अतिरिक्त Most-Favoured-Nation (MFN) obligation भी लागू करता है।
TRIPS Article 10: computer programs को Berne framework के अंतर्गत literary works की तरह protect करता है।
Data compilations में selection/arrangement के आधार पर protection मिल सकती है।
TRIPS computer programs तथा अधिकांश cinematographic works के लिए rental rights को भी मान्यता देता है।

भाग III

TRIPS समझौता

Trade-Related Aspects of Intellectual Property Rights — 1994

1. परिचय

स्थापना: 1994
पृष्ठभूमि: Uruguay Round of GATT negotiations
प्रशासक: World Trade Organization (WTO)
प्रभावी: 1 जनवरी 1995

उद्देश्य

दुनिया के विभिन्न देशों में IP protection के बीच अंतर को कम करना और उसे common international trade rules के अंतर्गत लाना।

मुख्य रणनीति

TRIPS binding minimum standards निर्धारित करता है।

देश चाहें तो इससे अधिक protection प्रदान कर सकते हैं — जिसे सामान्यतः TRIPS-plus protection कहा जाता है।

2. प्रमुख कानूनी सिद्धांत

National Treatment — Article 3

प्रत्येक Member को दूसरे Members के nationals को IP protection के मामले में अपने nationals से कम अनुकूल व्यवहार नहीं करना चाहिए।

Most-Favoured-Nation Treatment — Article 4

एक Member के nationals को दिया गया कोई IP-related advantage अन्य WTO Members के nationals को भी तुरंत और बिना शर्त उपलब्ध कराया जाना चाहिए।

3. IP Coverage एवं Minimum Standards

अधिकार	TRIPS के अंतर्गत न्यूनतम मानक
Patents — Arts. 27–34	Products और processes के लिए, subject to novelty, inventive step एवं industrial applicability
Patent Term — Art. 33	Filing date से न्यूनतम 20 वर्ष
Copyright — Arts. 9–14	Berne Arts. 1–21; computer programs एवं data compilations
Trademarks — Arts. 15–21	Goods/services को distinguish करने में सक्षम signs; कम-से-कम 7 वर्ष, renewable
Trade Secrets — Art. 39	Honest commercial practice के विपरीत acquisition/use से undisclosed information की सुरक्षा
Industrial Designs — Arts. 25–26	New/original designs के लिए न्यूनतम 10 वर्ष

4. Engineering Ethics Connection

Technology Transfer

TRIPS IP protection और technology dissemination के बीच संतुलन स्थापित करता है।

Engineers को licensing तथा patented processes के संदर्भ में:

Innovation Reward ↔ Technology Dissemination ↔ Public Interest

के बीच संतुलन बनाना पड़ सकता है।

Public Health Flexibilities

Doha Declaration (2001) तथा TRIPS Article 31 compulsory licensing जैसी flexibilities की अनुमति देते हैं।

इनका उपयोग public-health emergencies तथा essential medicines तक पहुँच सुनिश्चित करने के संदर्भ में किया जा सकता है।

Engineer's Dilemma

किसी patented process को:

design around करना,
license करना,
challenge करना

हो तो engineer को contractual/IP obligations और broader public-interest considerations दोनों का मूल्यांकन करना चाहिए।

भाग IV

PCT एवं WIPO

Patent Cooperation Treaty (1970) एवं World Intellectual Property Organization (1967)

1. WIPO का परिचय

Convention: 1967 में signed
Entered into force: 1970
UN Specialized Agency: 1974
Headquarters: Geneva, Switzerland

Mandate

एक balanced एवं accessible international IP system को बढ़ावा देना जो:

creativity को reward करे,
innovation को stimulate करे,
economic development में योगदान दे,
public interest की रक्षा करे।

WIPO Paris Convention, Berne Convention, PCT, Madrid System तथा अनेक अन्य IP treaties का administration करता है।

2. Patent Cooperation Treaty — PCT Framework

उद्देश्य

एक ही invention के लिए अनेक देशों में patent protection प्राप्त करने की filing प्रक्रिया को सरल एवं एकीकृत करना।

Single-Application Concept

एक international application, एक receiving office में filing करके, अनेक PCT Contracting States में national filing के समान प्रारंभिक procedural effect उत्पन्न कर सकती है।

महत्वपूर्ण बात

PCT स्वयं patent grant नहीं करता।

International phase के बाद patent grant का निर्णय प्रत्येक national/regional patent office अपने domestic law के अनुसार करता है।

3. PCT की दो-चरणीय प्रक्रिया

International Phase

Step 1 — Filing

एक international application Receiving Office में file की जाती है।

इससे international filing date स्थापित होती है जिसे designated states में मान्यता मिल सकती है।

Step 2 — International Search & Opinion

International Searching Authority द्वारा:

International Search Report (ISR)
Written Opinion

जारी किए जाते हैं।

इनमें मुख्यतः:

Novelty
Inventive Step
Industrial Applicability

का प्रारंभिक मूल्यांकन होता है।

Step 3 — International Publication

Application सामान्यतः priority date से लगभग 18 महीने बाद प्रकाशित होती है।

Optional Chapter II

Applicant supplementary International Preliminary Examination का अनुरोध कर सकता है।

National Phase

Step 4 — National Processing

National phase में प्रवेश के बाद प्रत्येक designated patent office:

independently examination करता है,
अपने domestic law को लागू करता है,
और patent grant या refusal का निर्णय करता है।

यह सामान्यतः priority date से 30/31 महीने के आसपास की समयसीमा से जुड़ा होता है, देश/क्षेत्र के अनुसार।

4. इंजीनियरिंग के लिए व्यावहारिक लाभ

Cost Deferral

Foreign translation एवं country-specific official fees की बड़ी लागत को आगे तक टाला जा सकता है।

Strategic Assessment

ISR एवं Written Opinion applicant को patentability के बारे में प्रारंभिक evidence-based assessment देते हैं।

Priority Linkage

PCT, Paris Convention के 12-month priority system पर आधारित है।

सामान्य रणनीति:

पहली National Filing → 12 महीने के भीतर PCT Filing → Priority सुरक्षित → बाद में National Phase

भाग V

कंप्यूटर, सॉफ्टवेयर एवं डिजिटल सूचना

Technology Ethics, Software IP एवं Engineering Safety Failures

1. Computer Ethics के चार प्रमुख मुद्दे

एक व्यापक framework के अनुसार computer ethics को चार recurring pressure points में समझा जा सकता है:

Dimension	मुख्य चिंता
Power — शक्ति	Job displacement, algorithmic bias, autonomous weapons, market-manipulating algorithms
Property — संपत्ति	Embezzlement, data theft, software piracy, licensing violations
Privacy — निजता	Unauthorized access, inaccurate records, hacking, surveillance
Professional Responsibility — पेशेवर उत्तरदायित्व	Software failures, physical consequences, duty of care, ergonomic design

A. Power — वास्तविक उदाहरण

Automation एवं Labour Displacement

Amazon जैसी कंपनियों में warehouse robotics का उपयोग operational efficiency बढ़ाता है, लेकिन manual labour displacement से संबंधित ethical questions भी उत्पन्न करता है।

Algorithmic Bias — COMPAS

ProPublica की 2016 investigation ने COMPAS recidivism-risk algorithm में racial disparity से संबंधित concerns को प्रमुखता दी।

Engineering lesson:

यदि training data biased है, तो apparently neutral algorithm भी biased outcomes reproduce कर सकता है।

2010 Flash Crash

6 मई 2010 को US stock market में algorithms एवं high-frequency trading के feedback effects के बीच तीव्र गिरावट हुई।

Engineering lesson:

Complex automated systems में uncontrolled feedback loops systemic risk उत्पन्न कर सकते हैं।

Autonomous Weapons — LAWS

Lethal Autonomous Weapons Systems ऐसे systems हैं जो human intervention के बिना targets को select/engage करने की क्षमता की दिशा में विकसित किए जाते हैं।

इनसे:

proportionality,
human oversight,
accountability

से जुड़े गंभीर ethical प्रश्न उत्पन्न होते हैं।

B. Property — Data एवं Software

Embezzlement एवं Fund Transfer

Electronic systems के माध्यम से बड़ी मात्रा में धन कुछ ही सेकंड में transfer किया जा सकता है।

दो प्रमुख Structural Risks

Speed एवं geographic reach: बड़े पैमाने पर victimisation बहुत तेजी से हो सकती है।
Traceability difficulty: digital transactions के माध्यम से perpetrators को track करना कठिन हो सकता है।

Data एवं Software Theft

इसमें शामिल हो सकते हैं:

employee misappropriation,
client cheating,
software-sale contract violation,
licence terms का उल्लंघन करते हुए reverse engineering।

C. Privacy

Inappropriate Access

Weak security systems hackers को personal या organisational financial information तक पहुँचने का अवसर दे सकते हैं।

Record Errors

गलत या outdated records innocent individuals को गंभीर नुकसान पहुँचा सकते हैं।

Hackers एवं Trojan Horses

Trojan horse जैसे malicious programs:

networks को बाधित कर सकते हैं,
misinformation फैला सकते हैं,
files मिटा सकते हैं,
equipment को नुकसान पहुँचा सकते हैं।

2. Software में Intellectual Property Rights

Copyright

Source code तथा compiled binary form को literary work के रूप में copyright protection मिल सकता है।

TRIPS Article 10 computer programs को literary works के रूप में protect करता है।

Patents

Software-implemented inventions के लिए patent protection jurisdiction-specific होती है।

Technical effect/technical contribution तथा abstract idea के बीच अंतर महत्वपूर्ण है।

Alice Corp. v. CLS Bank International

573 U.S. 208 (2014)

US patent law में abstract idea को मात्र computer implementation में बदल देना पर्याप्त नहीं; आवश्यक inventive concept का प्रश्न महत्वपूर्ण है।

Trade Secret

Algorithms और source code को patent करने के बजाय trade secret के रूप में सुरक्षित रखना कई परिस्थितियों में उपयोगी हो सकता है, यदि:

information confidential रखी जा सके,
reasonable secrecy measures अपनाए जाएँ।

केस लॉ — Lotus Development Corp. v. Borland International, Inc.

516 U.S. 233 (1996)

Lotus 1-2-3 के menu-command hierarchy को uncopyrightable method of operation माना गया।
Expressive computer code copyrightable हो सकता है।
लेकिन functional command structure पर copyright protection की सीमा अलग हो सकती है।

केस लॉ — Google LLC v. Oracle America, Inc.

593 U.S. 1 (2021)

US Supreme Court ने Google द्वारा Java SE API के लगभग 11,500 lines of declaring code के Android development में उपयोग को fair use माना।

यह software interoperability और functional interfaces की reimplementation से संबंधित एक landmark decision है।

3. Critical Safety-System Failures

A. Therac-25 Radiation Therapy Disaster — 1985–1987

प्रमुख कारण

Software race condition
Hardware safety interlocks को हटाना
पुराने software logic पर अत्यधिक निर्भरता
खराब error handling
Fault codes के बाद भी operation जारी रहना

प्रभाव

कम-से-कम छह documented massive overdoses हुए, जिनमें लगभग 100 गुना intended radiation dose तक exposure हुआ।

Engineering Lesson

High-consequence systems में software को एकमात्र safety barrier नहीं बनाया जाना चाहिए।

इसके लिए Defense in Depth आवश्यक है।

B. Boeing 737 MAX — MCAS Failures

प्रमुख कारण

Single Angle-of-Attack (AoA) sensor पर dependence
पर्याप्त sensor cross-checking का अभाव
Pilots को system behaviour की पर्याप्त जानकारी न होना
Repeated automatic nose-down commands की handling में कठिनाई

प्रभाव

Lion Air Flight 610 — October 2018
Ethiopian Airlines Flight 302 — March 2019
संयुक्त रूप से 346 fatalities
Worldwide grounding
Certification एवं safety-review processes में व्यापक सुधार

Engineering Lesson

Redundancy + transparency + human factors + fail-safe design अत्यंत महत्वपूर्ण हैं।

4. Digital Information की विशिष्ट विशेषताएँ

Digital information:

tangible physical form में नहीं होती,
फिर भी इसका economic value बहुत अधिक हो सकता है।

Digital piracy में:

original copy सामान्यतः समाप्त नहीं होती,
लेकिन unauthorised copies बनाई एवं redistribute की जा सकती हैं।

इसके कारण:

near-zero marginal copying cost,
rapid redistribution,
intellectual property infringement

जैसे risks उत्पन्न होते हैं।

5. Information Age की चुनौतियाँ

Authentication

Online identity को verify करना face-to-face interaction की तुलना में कठिन हो सकता है।

Phishing

False pretence के माध्यम से financial या personal information प्राप्त करने का प्रयास।

Spam

Unsolicited bulk messages या advertisements।

Hacking — दो अर्थ

“Hacking” कभी-कभी creative/benign system modification के अर्थ में भी प्रयोग होता है।

लेकिन ethical/legal distinction सामान्यतः इन पर निर्भर करती है:

Consent
Intent
Authorization
Harm

भाग VI

परमाणु नैतिकता, हथियार एवं इंजीनियरिंग उत्तरदायित्व

Deterrence Theory, Non-Proliferation Law एवं Reactor Safety

1. मूल नैतिक दुविधा

Nuclear ethics दो प्रमुख विचारों के बीच स्थित है:

Strategic Deterrence
↕
Humanitarian Risk / Prohibition

एक ओर national defence और deterrence है, दूसरी ओर mass destruction, humanitarian consequences और planetary risk।

2. Nuclear Deterrence का दार्शनिक विश्लेषण

A. Utilitarian Perspective — Bentham एवं Mill

Pro-Deterrence Argument

यह तर्क दिया जाता है कि nuclear deterrence ने 1945 के बाद direct great-power war को रोकने में भूमिका निभाई और इस प्रकार aggregate welfare बढ़ सकता है।

Anti-Deterrence Argument

समय के साथ:

miscalculation,
cyber intrusion,
technical failure,
false alarms

जैसे जोखिम catastrophic consequences उत्पन्न कर सकते हैं।

यह low-probability + extremely high-severity risk की utilitarian समस्या है।

Historical Near-Misses

1962 — Cuban Missile Crisis

Soviet submarine B-59 के officer Vasili Arkhipov ने nuclear torpedo launch की अनुमति देने से इनकार किया।

यह घटना escalation रोकने वाले महत्वपूर्ण historical examples में गिनी जाती है।

1983 — Petrov Incident

Soviet officer Stanislav Petrov ने early-warning system के missile alert को false alarm के रूप में पहचानने में महत्वपूर्ण judgment प्रदर्शित किया।

B. Deontological Perspective — Kant

Formula of Universal Law

ऐसी policy जिसमें non-combatants की mass destruction की धमकी शामिल हो, उसे universal moral law के रूप में स्वीकार करना Kantian ethics की कसौटी पर गंभीर समस्या उत्पन्न करता है।

Formula of Humanity

Civilian populations को strategic objective प्राप्त करने के साधन के रूप में उपयोग करना मनुष्यों को ends in themselves के बजाय means के रूप में treat कर सकता है।

यह Kantian duty-based ethics से conflict करता है।

3. International Treaties एवं Non-Proliferation Regime

Treaty	वर्ष	मुख्य दायित्व
NPT — Non-Proliferation Treaty	1968	Non-proliferation, peaceful use, disarmament
CTBT — Comprehensive Nuclear-Test-Ban Treaty	1996	Nuclear explosions पर comprehensive ban
TPNW — Treaty on the Prohibition of Nuclear Weapons	2017 / 2021	Nuclear weapons के development, testing, possession, use और threat of use पर comprehensive prohibition

NPT के तीन स्तंभ

Non-Proliferation — Articles I–II
Peaceful Use of Nuclear Energy — Article IV
Disarmament — Article VI

NPT के अंतर्गत Recognised Nuclear Weapon States

United States
Russia
United Kingdom
France
China

NPT framework के बाहर nuclear weapons रखने वाले states

India
Pakistan
Israel
North Korea — जिसने 2003 में NPT से withdrawal किया

CTBT

CTBT अभी तक formally in force नहीं हुआ है क्योंकि Annex 2 से संबंधित आवश्यक ratifications पूरी नहीं हुई हैं।

4. Technical Disasters एवं Engineering Safety Culture

Chernobyl Nuclear Power Plant — 26 April 1986

Engineering Factors

RBMK-1000 reactor का positive void coefficient
Graphite-tipped control rods की design characteristic
flawed safety test
safety procedures का गंभीर उल्लंघन/compromise

Consequence

catastrophic power excursion
explosion
radioactive material का व्यापक release
आसपास के क्षेत्र से permanent evacuation

Fukushima Daiichi Disaster — 11 March 2011

Engineering Factors

Tsunami protection assumptions अपर्याप्त सिद्ध हुए।
Backup diesel generators flood-prone locations में थे।
Earthquake + tsunami जैसे cascading hazards को पर्याप्त रूप से एकीकृत तरीके से address नहीं किया गया।

Consequence

Cooling system failure
तीन reactor units में severe core damage/meltdowns
व्यापक radioactive release
worldwide nuclear safety reassessment

Engineering Safety Imperatives

Defense in Depth

ऐसी safety architecture जिसमें:

redundant,
diverse,
independent

safety layers हों।

उद्देश्य:

किसी एक mechanical, software या human failure से catastrophic outcome न हो।

Whistleblower Protection एवं Duty to Report

Engineers का ethical duty है कि वे safety compromises को report करें, भले ही institutional या commercial pressure क्यों न हो।

यह professional engineering ethics का महत्वपूर्ण सिद्धांत है।

5. Nuclear Safety Ethics के प्रमुख सिद्धांत

परमाणु संस्थानों में safety culture के लिए प्रमुख ethical principles:

Conservative एवं risk-based decision-making अपनाएँ।
Commercial gain से पहले safety को प्राथमिकता दें।
अपनी तथा दूसरों की safety के लिए personal responsibility स्वीकार करें।
Safety एवं environmental considerations को core business practice में integrate करें।
Board एवं operational management के बीच effective communication सुनिश्चित करें।
Regulators, employees एवं stakeholders से openly और honestly communicate करें।
ऐसा blame-free reporting culture विकसित करें जो near-misses के reporting को प्रोत्साहित करे।
Industry में operating experience को अन्य organisations के साथ share करें।
Public energy-supply discussions में objective एवं transparent participation करें।
Bribery एवं corruption के प्रति zero tolerance रखें।
Nuclear materials की illegal sale/distribution रोकें।
Local community के प्रति responsible neighbour बनें।

महत्वपूर्ण परीक्षा-बिंदु

Blame-free reporting culture ≠ No-accountability culture

Near-misses और honest errors की reporting को प्रोत्साहित करना safety culture का हिस्सा है; लेकिन deliberate, reckless या grossly negligent conduct को accountability से पूरी तरह मुक्त करना इसका अर्थ नहीं है।

6. Engineer का Ethical Position — समेकित दृष्टिकोण

Utilitarian Route

यदि credible deterrence balance major war की probability को वास्तव में कम करता है, तो engineer continued technical work को greater-good argument से justify कर सकता है — लेकिन probability एवं severity estimates का honest evaluation आवश्यक है।

Deontological Route

यदि deterrence की credibility non-combatants पर indiscriminate harm करने की willingness पर आधारित है, तो Kantian ethics के अनुसार engineer ऐसे systems में contribution को morally impermissible मान सकता है।

Practical Convergence

दोनों ethical frameworks के बीच एक महत्वपूर्ण common ground है:

Nuclear एवं high-consequence engineering में technical rigor, transparency, professional judgment और unsafe practices को स्वीकार न करने की जिम्मेदारी सर्वोच्च है।

Petrov और Arkhipov जैसे historical cases यह दिखाते हैं कि कभी-कभी individual professional judgment अंतिम safety barrier बन सकता है।

त्वरित पुनरावृत्ति

तुलनात्मक परीक्षा सारांश

Framework	Domain	मुख्य तंत्र
Paris Convention (1883)	Industrial Property	National Treatment + Right of Priority — patents 12 महीने; designs/marks 6 महीने
Berne Convention (1886)	Copyright	Automatic Protection + Moral Rights + Three-Step Test
TRIPS Agreement (1994)	Global Minimum Standards	National Treatment + MFN Treatment + WTO-based enforcement
PCT / WIPO (1967/1970)	Patent Filing Procedure	Single international application → International Phase + National Phase
Computer Ethics	Digital Systems	Power + Property + Privacy + Professional Responsibility
Nuclear Ethics	Nuclear Weapons & Reactor Safety	Utilitarian Risk vs Deontological Prohibition + Defense in Depth

⭐ सुपर-फास्ट परीक्षा स्मरण सूत्र

Paris Convention

“Industrial Property + Priority”

Paris = Patent Priority

Patent → 12 months
Design/Trademark → 6 months
National Treatment
Territorial/Independent Patents

Berne Convention

“Copyright + Automatic Protection”

National Treatment
Automatic Protection
Moral Rights
Independence of Protection
Three-Step Test

TRIPS

“Global Minimum IP Standards”

WTO
National Treatment
MFN
Patent → 20 years minimum
Software → Copyright protection

PCT

“One Application, Not One Global Patent”

International Filing → Search → Publication → National Phase → National Decision

Computer Ethics

“4Ps”

Power → Property → Privacy → Professional Responsibility

Nuclear Ethics

“Safety First + Defense in Depth”

Conservative decision-making
Risk-based approach
Safety > Commercial Gain
Open reporting
Professional responsibility
Defense in depth
Human oversight

अंतिम परीक्षा-सूत्र

Paris = Industrial Property
Berne = Copyright
TRIPS = WTO + Minimum Standards
PCT = International Patent Filing System
Computer Ethics = 4Ps
Nuclear Ethics = Safety + Responsibility + Defense in Depth

याद रखें:
“Patent का international system हो सकता है, लेकिन patent स्वयं automatically global नहीं होता।”

और:

“Copyright protection automatic हो सकती है, लेकिन patent grant automatic नहीं होता।”

MODULE 3 EDM SIMULATION

MODULE 3

SIMULATION AND MULTI-OBJECTIVE OPTIMIZATION OF EDM PARAMETERS

Course: PEML3001 — Decision Making and Optimization Laboratory
Programme: M.Tech — Project Engineering & Management
Branch: Mechanical Engineering
Experiment/Module: 3
Software: Python 3.x, NumPy, SciPy, Matplotlib
Method: Mathematical Modelling + Response Simulation + Multi-Objective Optimization

1. AIM

To develop a mathematical and computational simulation model of Electrical Discharge Machining (EDM).
To study the effects of:
- Discharge Current, \(I\)
- Pulse-On Time, \(T_{on}\)
- Pulse-Off Time, \(T_{off}\)
- Discharge Voltage, \(V\)
To predict:
- Material Removal Rate (MRR)
- Tool Wear Rate (TWR)
- Surface Roughness (\(R_a\))
To investigate parameter interactions through response-surface visualization.
To formulate a multi-objective optimization problem involving productivity, tool wear and surface quality.
To determine a balanced EDM operating condition using a normalized weighted-sum optimization approach.
To interpret the optimization results from an engineering decision-making perspective.

2. INTRODUCTION

Electrical Discharge Machining is a non-contact thermoelectric machining process used primarily for electrically conductive materials.

Unlike conventional machining, the tool does not mechanically cut the workpiece. Instead, controlled electrical discharges occur across a small dielectric-filled gap between the electrode and workpiece.

Each discharge generates a localized thermal event. A portion of the workpiece melts and/or vaporizes, while the dielectric helps cool the region and remove debris.

The overall EDM process can therefore be represented as:

\[ \boxed{ \text{Electrical Input} \rightarrow \text{Spark Discharge} \rightarrow \text{Plasma Channel} \rightarrow \text{Localized Heating} \rightarrow \text{Melting/Vaporization} \rightarrow \text{Debris Removal} } \]

3. EDM WORKING PRINCIPLE

3.1 Dielectric Breakdown

When the voltage across the electrode-workpiece gap becomes sufficiently high, the dielectric undergoes electrical breakdown.

A plasma channel is established between the electrode and workpiece.

3.2 Spark Discharge

Current flows through the plasma channel for the specified pulse-on duration.

The electrical energy is converted primarily into thermal energy.

3.3 Material Removal

The very high localized temperature causes a small region of the workpiece to melt and partially vaporize.

3.4 Pulse-Off Period

When the pulse is switched off, the plasma channel collapses.

The dielectric then helps:

cool the machining zone,
remove molten debris,
restore dielectric strength,
prepare the gap for the next discharge.

Thus:

\[ \boxed{\text{EDM is a controlled sequence of electrical discharges followed by cooling and debris removal.}} \]

4. INPUT AND OUTPUT PARAMETERS

4.1 Input Parameters

Parameter	Symbol	Unit	Range Used
Discharge current	\(I\)	A	5–25
Pulse-on time	\(T_{on}\)	µs	50–300
Pulse-off time	\(T_{off}\)	µs	10–60
Voltage	\(V\)	V	40–80

4.2 Output Parameters

Response	Symbol	Unit	Optimization
Material Removal Rate	MRR	g/min	Maximize
Tool Wear Rate	TWR	g/min	Minimize
Surface Roughness	\(R_a\)	µm	Minimize

5. EFFECT OF EDM PARAMETERS

5.1 Discharge Current

Increasing current generally increases spark energy and therefore increases material removal.

However, excessive current can produce:

larger craters,
higher tool wear,
increased surface roughness,
thermal damage.

Therefore:

\[ I\uparrow \Rightarrow MRR\uparrow \]

but generally:

\[ I\uparrow \Rightarrow TWR\uparrow,\quad R_a\uparrow \]

5.2 Pulse-On Time

The pulse-on duration determines how long the discharge acts on the machining zone.

Generally:

\[ T_{on}\uparrow \Rightarrow E_p\uparrow \]

which tends to increase material removal, although actual EDM behavior can become nonlinear at high pulse durations.

5.3 Pulse-Off Time

Pulse-off time provides an opportunity for:

dielectric recovery,
deionization,
cooling,
debris flushing.

Too short a pulse-off period can produce unstable discharge conditions.

5.4 Voltage

Voltage influences spark initiation and discharge conditions.

Its effect is generally less direct than current and pulse duration and depends on:

dielectric,
gap size,
electrode material,
workpiece material,
machine characteristics.

6. MATHEMATICAL MODEL

6.1 Single-Pulse Discharge Energy

The instantaneous discharge energy is:

\[ E_p=\int_0^{T_{on}}v(t)i(t)\,dt \]

For approximately constant voltage and current:

\[ E_p\approx VIT_{on} \]

Since \(T_{on}\) is expressed in microseconds:

\[ \boxed{ E_p(\text{mJ})= \frac{VIT_{on}}{1000} } \]

This conversion is important.

For example, for:

\[ I=5A,\quad V=40V,\quad T_{on}=50\mu s \] \[ E_p= \frac{5(40)(50)}{1000} =10\,mJ \]

7. DUTY FACTOR

The duty factor is:

\[ \boxed{ \tau= \frac{T_{on}} {T_{on}+T_{off}} } \]

It represents the fraction of each pulse cycle during which the discharge is active.

The pulse period is:

\[ T_c=T_{on}+T_{off} \]

and approximate pulse frequency is:

\[ f=\frac{1}{T_c} \]

with appropriate unit conversion when \(T_{on}\) and \(T_{off}\) are in microseconds.

8. EMPIRICAL EDM RESPONSE MODELS

For simulation purposes, the following assumed empirical power-law models are used.

8.1 MRR

\[ \boxed{ MRR= 0.0028 I^{1.45} T_{on}^{0.68} T_{off}^{-0.22} V^{0.35} } \]

8.2 TWR

\[ \boxed{ TWR= 0.00045 I^{1.62} T_{on}^{-0.18} T_{off}^{-0.15} V^{0.25} } \]

8.3 Surface Roughness

\[ \boxed{ R_a= 0.42 I^{0.58} T_{on}^{0.32} T_{off}^{-0.08} V^{0.15} } \]

Important academic note

These equations should be described as simulation/assumed empirical models, unless you have experimental data and a published source establishing these exact coefficients.

They should not be presented as universally valid EDM equations.

9. OPTIMIZATION FORMULATION

The decision vector is:

\[ \boxed{ \mathbf{x}= [I,T_{on},T_{off},V]^T } \]

We require:

\[ \max MRR \]

while simultaneously:

\[ \min TWR \]

and:

\[ \min R_a \]

Subject to:

\[ 5\le I\le25 \] \[ 50\le T_{on}\le300 \] \[ 10\le T_{off}\le60 \] \[ 40\le V\le80 \]

10. NORMALIZED WEIGHTED-SUM MODEL

Because the three responses have different units, direct addition is inappropriate.

A normalized objective is therefore used.

For maximization of MRR:

\[ MRR_n= \frac{MRR-MRR_{min}} {MRR_{max}-MRR_{min}} \]

For minimization of TWR:

\[ TWR_n= \frac{TWR-TWR_{min}} {TWR_{max}-TWR_{min}} \]

For surface roughness:

\[ R_{a,n}= \frac{R_a-R_{a,min}} {R_{a,max}-R_{a,min}} \]

The composite objective can then be written as:

\[ \boxed{ F= -w_1MRR_n+ w_2TWR_n+ w_3R_{a,n} } \]

where:

\[ w_1+w_2+w_3=1 \]

For example:

\[ w_1=0.50,\quad w_2=0.25,\quad w_3=0.25 \]

The optimization problem becomes:

\[ \boxed{\min F(\mathbf{x})} \]

11. CORRECTED PYTHON IMPLEMENTATION

The original code has two important weaknesses:

The stated normalization constants \(0.50,;0.05,;8.0\) are arbitrary and do not correspond consistently to the actual model ranges.
The objective is called a GA/NSGA-II approach, but scipy.optimize.minimize() with L-BFGS-B is not a Genetic Algorithm and is not NSGA-II.

Therefore, for an academically honest report, this version should be called:

Bounded nonlinear weighted-sum optimization using L-BFGS-B.

import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import minimize

# ============================================================
# EDM RESPONSE MODELS
# ============================================================

def calculate_mrr(I, Ton, Toff, V):
    return (0.0028 * I**1.45 * Ton**0.68 *
            Toff**(-0.22) * V**0.35)

def calculate_twr(I, Ton, Toff, V):
    return (0.00045 * I**1.62 * Ton**(-0.18) *
            Toff**(-0.15) * V**0.25)

def calculate_ra(I, Ton, Toff, V):
    return (0.42 * I**0.58 * Ton**0.32 *
            Toff**(-0.08) * V**0.15)


# ============================================================
# PARAMETER BOUNDS
# ============================================================

bounds = [
    (5, 25),       # Current, A
    (50, 300),     # Ton, microseconds
    (10, 60),      # Toff, microseconds
    (40, 80)       # Voltage, V
]


# ============================================================
# RESPONSE RANGE ESTIMATION
# ============================================================

rng = np.random.default_rng(42)

N = 100000

X = np.column_stack([
    rng.uniform(5, 25, N),
    rng.uniform(50, 300, N),
    rng.uniform(10, 60, N),
    rng.uniform(40, 80, N)
])

MRR = calculate_mrr(X[:,0], X[:,1], X[:,2], X[:,3])
TWR = calculate_twr(X[:,0], X[:,1], X[:,2], X[:,3])
RA  = calculate_ra(X[:,0], X[:,1], X[:,2], X[:,3])

mrr_min, mrr_max = MRR.min(), MRR.max()
twr_min, twr_max = TWR.min(), TWR.max()
ra_min, ra_max = RA.min(), RA.max()


# ============================================================
# NORMALIZED WEIGHTED OBJECTIVE
# ============================================================

w1, w2, w3 = 0.50, 0.25, 0.25

def objective(x):

    I, Ton, Toff, V = x

    mrr = calculate_mrr(I, Ton, Toff, V)
    twr = calculate_twr(I, Ton, Toff, V)
    ra  = calculate_ra(I, Ton, Toff, V)

    mrr_n = (mrr - mrr_min) / (mrr_max - mrr_min)
    twr_n = (twr - twr_min) / (twr_max - twr_min)
    ra_n  = (ra - ra_min) / (ra_max - ra_min)

    return (-w1*mrr_n +
             w2*twr_n +
             w3*ra_n)


# ============================================================
# OPTIMIZATION
# ============================================================

x0 = [15, 175, 35, 60]

result = minimize(
    objective,
    x0,
    method='L-BFGS-B',
    bounds=bounds
)

opt_I, opt_Ton, opt_Toff, opt_V = result.x

opt_MRR = calculate_mrr(
    opt_I, opt_Ton, opt_Toff, opt_V
)

opt_TWR = calculate_twr(
    opt_I, opt_Ton, opt_Toff, opt_V
)

opt_Ra = calculate_ra(
    opt_I, opt_Ton, opt_Toff, opt_V
)

duty_factor = opt_Ton / (opt_Ton + opt_Toff)

energy_mJ = (
    opt_I * opt_Ton * opt_V / 1000
)


# ============================================================
# OUTPUT
# ============================================================

print("\n==============================================")
print("       EDM OPTIMIZATION RESULTS")
print("==============================================")

print(f"Current I       : {opt_I:.3f} A")
print(f"Pulse-On Time   : {opt_Ton:.3f} us")
print(f"Pulse-Off Time  : {opt_Toff:.3f} us")
print(f"Voltage         : {opt_V:.3f} V")

print("----------------------------------------------")

print(f"MRR             : {opt_MRR:.6f} g/min")
print(f"TWR             : {opt_TWR:.6f} g/min")
print(f"Ra              : {opt_Ra:.6f} um")

print("----------------------------------------------")

print(f"Pulse Energy    : {energy_mJ:.3f} mJ")
print(f"Duty Factor     : {duty_factor:.4f}")

print("----------------------------------------------")
print(f"Optimization successful: {result.success}")
print(f"Objective value         : {result.fun:.6f}")

print("==============================================")

12. RESPONSE SURFACE SIMULATION

For a fixed:

\[ T_{off}=30\mu s \]

and:

\[ V=60V \]

we can investigate the interaction between:

\[ I \]

and:

\[ T_{on} \]

using a 3-D response surface.

The three surfaces are:

MRR surface
TWR surface
\(R_a\) surface

The expected qualitative behavior is:

\[ I\uparrow,\;T_{on}\uparrow \Rightarrow MRR\uparrow \]

while:

\[ I\uparrow \Rightarrow TWR\uparrow \]

and generally:

\[ I\uparrow,\;T_{on}\uparrow \Rightarrow R_a\uparrow \]

13. CORRECTED SIMULATION OBSERVATION

This is where your original report needs the biggest correction.

Using the equations you supplied, the results cannot be the values currently shown in your table.

For example:

Run 1

\[ I=5A,\quad T_{on}=50\mu s,\quad T_{off}=10\mu s,\quad V=40V \]

Pulse energy:

\[ E_p=10mJ \]

But the supplied model gives approximately:

\[ \boxed{MRR=0.9051\;g/min} \] \[ \boxed{TWR=0.00537\;g/min} \] \[ \boxed{R_a=5.403\;\mu m} \]

not:

MRR = 0.0231 g/min, TWR = 0.0028 g/min, \(R_a=1.84\mu m\)

Therefore, the old table should be removed or regenerated directly from the Python model.

14. SIMULATION RESULT TABLE — CORRECT FORMAT

Instead of manually entering results, use:

Run	I (A)	Ton (µs)	Toff (µs)	V (V)	Energy (mJ)	MRR	TWR	Ra
1	5	50	10	40	10	Calculated	Calculated	Calculated
2	5	175	35	60	52.5	Calculated	Calculated	Calculated
3	5	300	60	80	120	Calculated	Calculated	Calculated
4	15	50	35	80	60	Calculated	Calculated	Calculated
5	15	175	60	40	105	Calculated	Calculated	Calculated
6	15	300	10	60	270	Calculated	Calculated	Calculated
7	25	50	60	60	75	Calculated	Calculated	Calculated
8	25	175	10	80	350	Calculated	Calculated	Calculated
9	25	300	35	40	300	Calculated	Calculated	Calculated

This is scientifically preferable because the table becomes an output of the computational model, rather than manually assumed experimental data.

15. ENGINEERING INTERPRETATION

MRR

The MRR model contains:

\[ I^{1.45} \]

which gives current a strong positive influence.

Therefore, current is expected to be one of the dominant productivity parameters.

TWR

The TWR model contains:

\[ I^{1.62} \]

Therefore, increasing current produces a particularly strong increase in predicted tool wear.

This creates an important optimization conflict:

\[ \boxed{ \text{High }I \rightarrow \text{High MRR} \rightarrow \text{High TWR} } \]

Surface Roughness

The model contains:

\[ I^{0.58}T_{on}^{0.32} \]

Thus increasing current and pulse-on time tends to increase predicted surface roughness.

Consequently:

\[ \boxed{ \text{Productivity} \leftrightarrow \text{Tool Life} \leftrightarrow \text{Surface Quality} } \]

is the central engineering trade-off.

16. IMPORTANT CORRECTION TO THE ORIGINAL OPTIMUM

The previously stated:

\[ I=14.82A,\quad T_{on}=162.4\mu s,\quad T_{off}=48.2\mu s,\quad V=52.5V \]

with:

\[ MRR=0.2185g/min \]

is not consistent with the supplied mathematical model.

For exactly those parameters, the supplied equation gives approximately:

\[ \boxed{MRR\approx7.584g/min} \] \[ \boxed{TWR\approx0.02136g/min} \] \[ \boxed{R_a\approx13.59\mu m} \]

Therefore, the earlier optimization result should not be reported as the output of the equations.

This is a crucial correction for a laboratory report.

17. VALIDATION STRATEGY

Because this is a simulation experiment, "validation" should be carefully distinguished from experimental validation.

Level 1 — Computational Verification

Verify that:

equations are correctly implemented,
units are consistent,
parameter bounds are respected,
optimization converges,
results are reproducible.

Level 2 — Model Validation

If experimental EDM data are available, compare:

\[ MRR_{predicted} \quad\text{vs.}\quad MRR_{experimental} \]

and similarly for TWR and \(R_a\).

Useful statistical measures include:

\[ R^2 \] \[ RMSE \] \[ MAE \]

For example:

\[ RMSE= \sqrt{ \frac{1}{n} \sum_{i=1}^{n} (y_i-\hat y_i)^2 } \]

Without experimental data, the report should say:

“The computational model was verified through numerical consistency and bounded optimization; experimental validation was not performed in the present simulation study.”

That is much more academically defensible than claiming experimental validation.

18. LIMITATIONS OF THE MODEL

The simulation is based on simplified empirical power-law relationships.

Actual EDM performance can also depend on:

workpiece material,
electrode material,
dielectric type,
dielectric flushing pressure,
inter-electrode gap,
electrode polarity,
servo control,
machine characteristics,
pulse waveform,
thermal properties,
debris concentration.

Therefore:

\[ \boxed{ \text{Simulation result} \neq \text{universal EDM operating condition} } \]

The optimized condition is valid within the assumptions and parameter domain of the adopted model.

19. CONCLUSION

A computational model for Electrical Discharge Machining was formulated using four controllable process parameters: discharge current, pulse-on time, pulse-off time and voltage.
Mathematical relationships were established to predict MRR, TWR and surface roughness.
The discharge energy was calculated using:

\[ E_p\approx VIT_{on} \]

with appropriate unit conversion.

Simulation demonstrates the fundamental EDM trade-off between productivity, tool wear and surface quality.
Discharge current has a strong influence on the predicted MRR and TWR because of its relatively high model exponents.
Pulse-on time influences both energy input and surface characteristics.
Pulse-off time plays an important role in dielectric recovery and debris removal, although its influence in the adopted empirical equations is comparatively weaker.
A normalized weighted-sum formulation was developed to transform the three competing objectives into a single optimization function.
The original numerical optimization results were found to be inconsistent with the stated equations; therefore, the final report should generate all numerical results directly from the implemented model.
The resulting optimum should be interpreted as a model-dependent computational optimum, not as a universally valid EDM setting.

20. VIVA VOCE

Q1. What is EDM?

Answer: EDM is a non-traditional thermoelectric machining process in which electrically conductive material is removed through controlled spark discharges between an electrode and workpiece.

Q2. Why is dielectric used?

Answer: The dielectric provides electrical insulation before breakdown, assists spark formation, cools the machining zone and flushes away debris.

Q3. What is \(T_{on}\)?

Answer: Pulse-on time is the duration for which a particular electrical discharge is active.

Q4. What is \(T_{off}\)?

Answer: Pulse-off time is the interval between successive discharge pulses during which the dielectric recovers and removes machining debris.

Q5. What happens when current increases?

Answer: Higher current generally increases discharge energy and MRR, but it can also increase tool wear and surface roughness.

Q6. Define MRR.

Answer: Material Removal Rate represents the rate at which material is removed from the workpiece, expressed here in g/min.

Q7. Define TWR.

Answer: Tool Wear Rate represents the rate at which electrode material is consumed during EDM.

Q8. What is surface roughness?

Answer: Surface roughness represents the microscopic irregularity of the machined surface. \(R_a\) is commonly used as an average roughness parameter.

Q9. Why is multi-objective optimization required?

Answer: Because maximizing MRR generally conflicts with minimizing tool wear and surface roughness. A single-objective optimization cannot adequately represent all three requirements.

Q10. Why normalize the responses?

Answer: MRR, TWR and \(R_a\) have different units and numerical magnitudes. Normalization makes them dimensionless and suitable for weighted aggregation.

Q11. Is L-BFGS-B a Genetic Algorithm?

Answer: No. L-BFGS-B is a bounded gradient-based numerical optimization algorithm. A true Genetic Algorithm uses population-based evolutionary operations such as selection, crossover and mutation.

Q12. What is NSGA-II?

Answer: NSGA-II is a population-based multi-objective evolutionary algorithm that uses non-dominated sorting and crowding distance to obtain a diverse approximation of the Pareto-optimal front.

Q13. What is a Pareto-optimal solution?

Answer: A solution is Pareto-optimal when no objective can be improved without worsening at least one other objective.

Q14. What is the main limitation of this simulation?

Answer: The results depend on the assumed empirical equations and parameter ranges. Experimental validation is required before applying the optimized settings to an actual EDM machine.

21. FINAL INTEGRATED WORKFLOW

The entire Module 3 can be summarized as:

\[ \boxed{ \text{EDM Theory} } \]

↓

\[ \boxed{ \text{Identify Input Parameters} } \]

↓

\[ \boxed{ I,\;T_{on},\;T_{off},\;V } \]

↓

\[ \boxed{ \text{Discharge Energy Calculation} } \]

↓

\[ \boxed{ \text{Empirical EDM Response Models} } \]

↓

\[ \boxed{ MRR,\;TWR,\;R_a } \]

↓

\[ \boxed{ \text{Parameter Simulation} } \]

↓

\[ \boxed{ \text{Response Surface Analysis} } \]

↓

\[ \boxed{ \text{Normalization} } \]

↓

\[ \boxed{ \text{Multi-Objective Optimization} } \]

↓

\[ \boxed{ \text{Optimal/Compromise Solution} } \]

↓

\[ \boxed{ \text{Engineering Interpretation} } \]

↓

\[ \boxed{ \text{Verification + Limitations + Conclusion} } \]

Final academic status

The integrated report is conceptually complete, but the numerical table and optimization result must be regenerated from one consistent computational model before submission. In particular, don't label the L-BFGS-B implementation as “GA/NSGA-II,” and don't claim experimental validation unless actual experimental EDM data were used. These two corrections will make the report considerably more rigorous.

Certainly. Below is the enhanced, detailed, academically structured version of Module–3: EDM Simulation, while keeping it practical-file oriented rather than unnecessarily expanding it into a textbook.

MODULE–3: EDM SIMULATION

Electrical Discharge Machining (EDM): Process Simulation, Performance Evaluation and Multi-Objective Optimization

Department: Mechanical Engineering
Programme: M.Tech. — Project Engineering & Management
Laboratory: Decision Making and Optimization Laboratory
Course Code: PEML3001
Module/Experiment: 3
Software: Python 3.x / Jupyter Notebook
Student: Vimal Noble
University: Jharkhand University of Technology, Ranchi

1. AIM

To develop a computational simulation model for Electrical Discharge Machining (EDM), investigate the influence of major electrical machining parameters on Material Removal Rate (MRR), Tool Wear Rate (TWR), and Surface Roughness (Ra), and determine a balanced optimum parameter combination using a multi-objective decision-making approach.

2. OBJECTIVES

The practical has the following objectives:

To understand the fundamental principle of EDM.
To identify the important EDM process parameters.
To formulate a simplified mathematical model of EDM.
To calculate discharge energy and duty factor.
To simulate different combinations of EDM parameters.
To predict MRR, TWR and surface roughness.
To analyze parameter-response relationships.
To formulate EDM as a multi-objective optimization problem.
To normalize benefit and cost criteria.
To calculate a Composite Performance Index (CPI).
To identify the best balanced machining condition.
To demonstrate the application of computational decision-making in manufacturing optimization.

3. INTRODUCTION

Electrical Discharge Machining is one of the most important non-traditional machining processes used for machining electrically conductive materials.

In conventional machining, material is removed mechanically by cutting tools. In EDM, however, material is removed through controlled electrical discharges occurring between an electrode and an electrically conductive workpiece.

A small gap is maintained between the tool electrode and workpiece. Both are immersed in or exposed to a dielectric medium. When a suitable electrical potential is applied, the dielectric breaks down locally and a spark discharge occurs.

The discharge produces extremely high localized thermal energy. This causes a small volume of workpiece material to melt and/or vaporize. The molten material is then removed from the machining gap by the dielectric flushing action.

The process is repeated thousands of times per second, gradually producing the required geometry.

4. BASIC EDM WORKING PRINCIPLE

The EDM process can be represented as:

\[ \boxed{ Electrical\ Energy \rightarrow Spark\ Discharge \rightarrow Thermal\ Energy \rightarrow Melting/Vaporization \rightarrow Material\ Removal } \]

Simplified process sequence

DC Pulse Generator

↓

Tool Electrode

↓

Spark Gap

↓

Dielectric

↓

Workpiece

↓

Debris Removal

The important stages are:

Voltage is applied between tool and workpiece.
Electric field develops across the dielectric gap.
Dielectric breaks down when the electric field reaches the required condition.
Plasma channel forms.
Current flows through the plasma channel.
Localized temperature rises sharply.
Workpiece material melts/vaporizes.
The discharge terminates.
Dielectric recovers its insulating property.
Debris is flushed away.
The cycle repeats.

5. EDM SYSTEM COMPONENTS

A typical EDM system contains:

5.1 Power Supply

Provides controlled electrical pulses to generate sparks.

5.2 Tool Electrode

The electrode provides the discharge path and reproduces the desired machining geometry.

Common electrode materials include:

Copper
Graphite
Copper-tungsten
Brass

5.3 Workpiece

The workpiece must generally be electrically conductive.

Examples:

Tool steels
Stainless steels
Carbides
Titanium alloys
Nickel-based alloys

5.4 Dielectric Medium

The dielectric performs several functions:

Insulates the gap before breakdown
Enables controlled spark formation
Cools the machining region
Flushes away debris
Helps stabilize machining

5.5 Servo Mechanism

Maintains an appropriate electrode-workpiece gap.

5.6 Flushing System

Removes eroded particles from the machining zone.

6. MAJOR EDM PROCESS PARAMETERS

The simulation considers four major parameters.

Parameter	Symbol	Unit	General significance
Discharge voltage	\(V\)	V	Controls electrical discharge conditions
Discharge current	\(I\)	A	Controls discharge intensity
Pulse-on time	\(T_{on}\)	µs	Duration of individual spark
Pulse-off time	\(T_{off}\)	µs	Interval between sparks

6.1 Discharge Current

Discharge current represents the intensity of current flowing during a spark.

Increasing current generally increases discharge energy and therefore:

\[ I\uparrow \Rightarrow MRR\uparrow \]

However, excessive current may also result in:

\[ TWR\uparrow \]

and

\[ Ra\uparrow \]

because of larger discharge craters.

6.2 Pulse-On Time

Pulse-on time is the duration for which electrical energy is delivered during one discharge.

The approximate energy of a pulse is:

\[ E_p=VIT_{on} \]

Therefore, increasing \(T_{on}\) generally increases the energy delivered to the workpiece.

6.3 Pulse-Off Time

Pulse-off time represents the interval between two consecutive pulses.

It provides time for:

Dielectric recovery
Plasma extinction
Cooling
Debris evacuation

If \(T_{off}\) is too short, unstable discharge conditions may occur.

6.4 Voltage

Voltage contributes to the energy available for discharge initiation and influences spark-gap conditions.

The simplified discharge-energy relationship is:

\[ E_p\propto VIT_{on} \]

7. EDM PERFORMANCE PARAMETERS

Three responses are selected for this simulation.

7.1 Material Removal Rate — MRR

MRR represents the amount of workpiece material removed per unit time.

Using mass loss:

\[ \boxed{ MRR=\frac{\Delta m}{\rho t} } \]

where:

\(\Delta m\) = workpiece mass loss
\(\rho\) = workpiece density
\(t\) = machining time

The objective is:

\[ \boxed{\max MRR} \]

7.2 Tool Wear Rate — TWR

TWR represents the rate at which electrode material is lost.

\[ \boxed{ TWR=\frac{\Delta m_t}{\rho_t t} } \]

where:

\(\Delta m_t\) = electrode mass loss
\(\rho_t\) = electrode density
\(t\) = machining time

The objective is:

\[ \boxed{\min TWR} \]

7.3 Surface Roughness — Ra

Surface roughness represents the quality of the machined surface.

EDM generates microscopic craters on the surface. Higher discharge energy can produce larger craters and potentially greater roughness.

Therefore:

\[ \boxed{\min Ra} \]

is generally desirable when surface quality is important.

8. CONFLICT BETWEEN EDM OBJECTIVES

One of the most important concepts in this practical is the trade-off between machining objectives.

Increasing discharge energy can increase MRR:

\[ E_p\uparrow \Rightarrow MRR\uparrow \]

But it may simultaneously increase:

\[ TWR\uparrow \]

and

\[ Ra\uparrow \]

Therefore, the problem cannot always be solved by simply selecting the maximum current or maximum pulse duration.

The actual optimization problem is:

\[ \boxed{ \text{Maximize MRR} } \]

while simultaneously:

\[ \boxed{ \text{Minimize TWR and Ra} } \]

This is a multi-objective optimization problem.

9. MATHEMATICAL MODEL

For simulation purposes, a simplified empirical model is adopted.

9.1 Pulse Energy

\[ \boxed{ E_p=VIT_{on} } \]

where \(T_{on}\) must be expressed in consistent time units.

9.2 Duty Factor

The fraction of the machining cycle during which the discharge is active is:

\[ \boxed{ D=\frac{T_{on}} {T_{on}+T_{off}} } \]

9.3 Average Discharge Power

\[ \boxed{ P_{avg}=VID } \]

9.4 Simulated MRR Model

A simplified nonlinear relationship is assumed:

\[ \boxed{ MRR=C_m(VIT_{on})^{0.85} } \]

9.5 Simulated TWR Model

\[ \boxed{ TWR=C_t(VIT_{on})^{0.70}D } \]

9.6 Simulated Surface Roughness Model

\[ \boxed{ Ra=C_r(VIT_{on})^{0.45}+C_dD } \]

where:

\(C_m\) = MRR model coefficient
\(C_t\) = TWR model coefficient
\(C_r\) = roughness coefficient
\(C_d\) = duty-factor coefficient

The numerical coefficients are simulation parameters and should be calibrated against experimental data if the model is to be used for real machining prediction.

10. SIMULATION ASSUMPTIONS

To keep the computational model manageable, the following assumptions are made:

Workpiece is electrically conductive.
Electrode material remains unchanged throughout the simulation.
Dielectric properties are constant.
Flushing conditions are adequate.
Spark distribution is represented statistically.
Each parameter combination produces a repeatable response.
Thermal properties are assumed constant.
Machine servo response is not explicitly modeled.
The empirical equations represent comparative process behaviour.
The simulation is intended for educational optimization rather than direct machine control.

11. SIMULATION DESIGN

The following levels are selected:

Parameter	Levels
Voltage	40, 50, 60 V
Current	5, 10, 15, 20, 25 A
\(T_{on}\)	50, 100, 150, 200, 250 µs
\(T_{off}\)	25, 50, 75, 100 µs

Number of combinations:

\[ N=3\times5\times5\times4 \] \[ \boxed{N=300} \]

Thus, the program evaluates 300 EDM operating conditions.

12. COMPUTATIONAL PROCEDURE

Step 1 — Define input parameters

Enter values of:

\[ V,I,T_{on},T_{off} \]

Step 2 — Generate combinations

All possible combinations are generated using nested loops.

Step 3 — Calculate pulse energy

\[ E_p=VIT_{on} \]

Step 4 — Calculate duty factor

\[ D=\frac{T_{on}}{T_{on}+T_{off}} \]

Step 5 — Calculate average power

\[ P_{avg}=VID \]

Step 6 — Predict responses

Calculate:

\[ MRR,\ TWR,\ Ra \]

Step 7 — Normalize responses

Convert all objectives to a common 0–1 scale.

Step 8 — Calculate CPI

\[ CPI=\sum w_iN_i \]

Step 9 — Rank solutions

Sort the solutions according to CPI.

Step 10 — Select optimum

The highest CPI represents the best balanced simulated condition.

13. PYTHON IMPLEMENTATION

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

# =====================================================
# EDM SIMULATION AND OPTIMIZATION
# =====================================================

# Input parameter levels
V_values = [40, 50, 60]
I_values = [5, 10, 15, 20, 25]
Ton_values = [50, 100, 150, 200, 250]   # microseconds
Toff_values = [25, 50, 75, 100]          # microseconds

# Simulation coefficients
Cm = 0.0025
Ct = 0.0008
Cr = 0.045
Cd = 0.8

results = []

# Generate all combinations
for V in V_values:
    for I in I_values:
        for Ton_us in Ton_values:
            for Toff_us in Toff_values:

                # Convert microseconds to milliseconds
                Ton = Ton_us / 1000
                Toff = Toff_us / 1000

                # Duty factor
                duty = Ton / (Ton + Toff)

                # Pulse energy
                pulse_energy = V * I * Ton

                # Average power
                average_power = V * I * duty

                # Simulated responses
                MRR = Cm * pulse_energy ** 0.85

                TWR = Ct * pulse_energy ** 0.70 * duty

                Ra = (
                    Cr * pulse_energy ** 0.45
                    + Cd * duty
                )

                results.append([
                    V, I, Ton_us, Toff_us,
                    pulse_energy, duty,
                    average_power, MRR,
                    TWR, Ra
                ])

# Create DataFrame
df = pd.DataFrame(results, columns=[
    "Voltage_V",
    "Current_A",
    "Ton_us",
    "Toff_us",
    "Pulse_Energy",
    "Duty_Factor",
    "Average_Power",
    "MRR",
    "TWR",
    "Ra"
])

print("Total simulation cases:", len(df))
print(df.head())

14. NORMALIZATION

Since the three objectives have different directions, normalization is required.

MRR — Benefit Criterion

Higher value is better:

\[ N_{MRR}= \frac{MRR-MRR_{min}} {MRR_{max}-MRR_{min}} \]

TWR — Cost Criterion

Lower value is better:

\[ N_{TWR}= \frac{TWR_{max}-TWR} {TWR_{max}-TWR_{min}} \]

Ra — Cost Criterion

Lower value is better:

\[ N_{Ra}= \frac{Ra_{max}-Ra} {Ra_{max}-Ra_{min}} \]

15. COMPOSITE PERFORMANCE INDEX

Equal importance is initially assigned:

\[ w_{MRR}=w_{TWR}=w_{Ra}=\frac13 \]

Therefore:

\[ \boxed{ CPI= \frac{ N_{MRR}+N_{TWR}+N_{Ra} }{3} } \]

Higher CPI indicates a more balanced solution.

Python implementation

# MRR: benefit criterion
df["N_MRR"] = (
    (df["MRR"] - df["MRR"].min()) /
    (df["MRR"].max() - df["MRR"].min())
)

# TWR: cost criterion
df["N_TWR"] = (
    (df["TWR"].max() - df["TWR"]) /
    (df["TWR"].max() - df["TWR"].min())
)

# Ra: cost criterion
df["N_Ra"] = (
    (df["Ra"].max() - df["Ra"]) /
    (df["Ra"].max() - df["Ra"].min())
)

# Equal weights
w_mrr = 1/3
w_twr = 1/3
w_ra = 1/3

# Composite Performance Index
df["CPI"] = (
    w_mrr * df["N_MRR"] +
    w_twr * df["N_TWR"] +
    w_ra * df["N_Ra"]
)

# Optimum solution
best = df.loc[df["CPI"].idxmax()]

print("\nOPTIMUM EDM SOLUTION")
print(best)

16. RANKING OF ALTERNATIVES

ranked = df.sort_values(
    by="CPI",
    ascending=False
).reset_index(drop=True)

ranked["Rank"] = ranked.index + 1

print(
    ranked[
        [
            "Rank",
            "Voltage_V",
            "Current_A",
            "Ton_us",
            "Toff_us",
            "MRR",
            "TWR",
            "Ra",
            "CPI"
        ]
    ].head(10)
)

The first row represents:

\[ \boxed{\text{Rank 1 = Best simulated compromise}} \]

17. GRAPHICAL ANALYSIS

17.1 Current vs MRR

data = df.groupby("Current_A")["MRR"].mean()

plt.figure(figsize=(8,5))
plt.plot(data.index, data.values, marker="o")
plt.xlabel("Discharge Current (A)")
plt.ylabel("Average MRR")
plt.title("Effect of Current on MRR")
plt.grid(True)
plt.show()

Interpretation

The expected trend is:

\[ I\uparrow \Rightarrow MRR\uparrow \]

because greater current generally increases discharge energy.

18. PULSE-ON TIME VS MRR

data = df.groupby("Ton_us")["MRR"].mean()

plt.figure(figsize=(8,5))
plt.plot(data.index, data.values, marker="o")
plt.xlabel("Pulse-On Time (µs)")
plt.ylabel("Average MRR")
plt.title("Effect of Pulse-On Time on MRR")
plt.grid(True)
plt.show()

Interpretation

Increasing pulse-on time increases the duration of energy transfer and generally increases material removal.

19. CURRENT VS TWR

data = df.groupby("Current_A")["TWR"].mean()

plt.figure(figsize=(8,5))
plt.plot(data.index, data.values, marker="o")
plt.xlabel("Discharge Current (A)")
plt.ylabel("Average TWR")
plt.title("Effect of Current on Tool Wear Rate")
plt.grid(True)
plt.show()

Interpretation

Higher discharge energy can increase electrode wear. However, real TWR depends strongly on electrode material, polarity and machining conditions.

20. PULSE-ON TIME VS SURFACE ROUGHNESS

data = df.groupby("Ton_us")["Ra"].mean()

plt.figure(figsize=(8,5))
plt.plot(data.index, data.values, marker="o")
plt.xlabel("Pulse-On Time (µs)")
plt.ylabel("Average Ra")
plt.title("Effect of Pulse-On Time on Surface Roughness")
plt.grid(True)
plt.show()

Interpretation

Longer pulse duration generally creates larger discharge craters and can increase surface roughness.

21. PULSE-OFF TIME ANALYSIS

Pulse-off time has an important role in process stability.

A very small \(T_{off}\) may result in:

Inadequate dielectric recovery
Poor debris evacuation
Arc formation
Unstable machining

A larger \(T_{off}\) can improve recovery but may reduce machining productivity.

Thus:

\[ \boxed{ T_{off}\text{ involves a productivity–stability trade-off} } \]

22. OPTIMIZATION FRAMEWORK

The complete computational framework is:

\[ \boxed{ V,I,T_{on},T_{off} } \]

↓

\[ \boxed{\text{EDM Simulation Model}} \]

↓

\[ \boxed{ E_p,\ D,\ P_{avg} } \]

↓

\[ \boxed{ MRR,\ TWR,\ Ra } \]

↓

\[ \boxed{\text{Normalization}} \]

↓

\[ \boxed{CPI} \]

↓

\[ \boxed{\text{Ranking}} \]

↓

\[ \boxed{\text{Optimal EDM Parameters}} \]

23. RESULT

After executing the program, record the actual output:

Parameter	Obtained optimum
Voltage	______ V
Current	______ A
Pulse-on time	______ µs
Pulse-off time	______ µs
Pulse energy	______
Duty factor	______
Average power	______
MRR	______
TWR	______
Ra	______
CPI	______
Rank	1

Total simulated alternatives: 300.

The numerical optimum should be copied from the executed program. It should not be manually inserted without running the model.

24. OBSERVATIONS

The simulation provides the following important observations:

Observation 1

Discharge current has a strong influence on material removal.

Observation 2

Increasing pulse-on time increases energy delivered per discharge.

Observation 3

Higher discharge energy generally improves MRR.

Observation 4

Higher energy may also increase tool wear.

Observation 5

Higher energy can produce larger craters and therefore higher surface roughness.

Observation 6

Pulse-off time contributes to dielectric recovery and debris removal.

Observation 7

The maximum-MRR condition may not be the best overall condition.

Observation 8

Multi-objective optimization provides a more balanced solution.

25. ENGINEERING INTERPRETATION

The practical illustrates a fundamental manufacturing optimization principle:

\[ \boxed{ \text{Productivity} \neq \text{Quality} } \]

Maximum productivity may require high discharge energy, whereas high surface quality generally favours controlled/lower discharge energy.

Therefore, process planning should consider:

\[ \boxed{ Productivity + Tool Life + Surface Quality } \]

rather than only one response.

26. ADVANTAGES OF SIMULATION

The computational approach provides:

Reduced experimental effort.
Faster parameter screening.
Easy comparison of multiple alternatives.
Mathematical transparency.
Repeatable analysis.
Easy integration with optimization algorithms.
Visualization of process trends.
Potential integration with machine learning.
Support for decision-making under competing objectives.
A foundation for digital manufacturing systems.

27. LIMITATIONS

The current model is simplified.

It does not explicitly model:

Individual spark stochasticity
Plasma-channel physics
Electrode polarity
Detailed dielectric breakdown
Debris concentration
Servo control
Spark-gap dynamics
Thermal conduction
Actual crater geometry
Machine-specific pulse waveform

Therefore:

\[ \boxed{ Simulation\ Result\neq Experimental\ Result } \]

unless the model is calibrated and validated using experimental EDM data.

28. MODEL VALIDATION

For advanced academic work, experimental validation should be performed.

The procedure is:

\[ \text{Simulation Prediction} \]

↓

\[ \text{Experimental EDM Trial} \]

↓

\[ \text{Measure MRR, TWR, Ra} \]

↓

\[ \text{Calculate Error} \]

For example:

\[ \%\ Error= \frac{|Experimental-Predicted|} {Experimental}\times100 \]

Lower prediction error indicates better model accuracy.

29. ADVANCED EXTENSION

The present simulation can be upgraded into an AI-enabled EDM optimization framework.

Stage 1 — Data acquisition

Collect:

\[ V,I,T_{on},T_{off} \]

and measured:

\[ MRR,TWR,Ra \]

Stage 2 — Machine learning

Train:

ANN
XGBoost
Random Forest
SVR

Stage 3 — Optimization

Use:

GA
PSO
SA
NSGA-II

Stage 4 — Decision making

Use:

SAW
WPM
TOPSIS
AHP

Stage 5 — Validation

Compare optimized predictions with experimental results.

The complete framework becomes:

\[ \boxed{ Experimental\ Data \rightarrow ML\ Prediction \rightarrow Optimization \rightarrow MCDM \rightarrow Experimental\ Validation } \]

This is particularly suitable for extending the practical toward an M.Tech research project.

30. RESULT AND CONCLUSION

The Electrical Discharge Machining process was successfully simulated using Python.

A total of 300 parameter combinations were evaluated using voltage, current, pulse-on time and pulse-off time.

The simulation calculated:

\[ \boxed{E_p,\ D,\ P_{avg},\ MRR,\ TWR,\ Ra} \]

The three performance criteria were treated as:

\[ \boxed{ MRR\rightarrow Maximum } \] \[ \boxed{ TWR\rightarrow Minimum } \] \[ \boxed{ Ra\rightarrow Minimum } \]

Normalization and the Composite Performance Index were then used to rank the alternatives.

The exercise demonstrates that EDM parameter selection is a multi-objective optimization problem, because improving productivity may adversely affect tool wear and surface quality.

Hence, computational simulation combined with decision-making provides an efficient framework for identifying a balanced EDM machining condition.

31. VIVA-VOCE QUESTIONS AND ANSWERS

Q1. What is EDM?

EDM is a non-traditional machining process in which electrically conductive material is removed through controlled electrical discharges.

Q2. What is the basic principle of EDM?

Localized thermal energy generated by electrical sparks melts and/or vaporizes a small amount of workpiece material.

Q3. Is there direct contact between tool and workpiece?

No.

Q4. What is the function of dielectric?

It provides electrical insulation before breakdown, enables controlled discharge, cools the machining region and removes debris.

Q5. What is pulse-on time?

It is the duration for which current flows during a discharge pulse.

Q6. What is pulse-off time?

It is the interval between successive discharge pulses.

Q7. What is pulse energy?

\[ E_p=VIT_{on} \]

Q8. What happens when current increases?

Generally, discharge energy and MRR increase, but excessive current can increase tool wear and surface roughness.

Q9. Why is optimization required?

Because MRR, TWR and Ra have conflicting requirements.

Q10. What is CPI?

CPI is a combined score used to compare alternatives considering multiple normalized objectives.

Q11. Which criterion is maximized?

\[ MRR \]

Q12. Which criteria are minimized?

\[ TWR,\ Ra \]

Q13. Why is EDM suitable for hard materials?

Because material removal is primarily electrical/thermal rather than conventional mechanical cutting.

Q14. Why is pulse-off time important?

It allows dielectric recovery, cooling and removal of debris.

Q15. What is the major limitation of the present model?

It is a simplified empirical simulation and requires experimental calibration for accurate real-machine prediction.

32. KEY EQUATIONS FOR EXAMINATION

\[ \boxed{E_p=VIT_{on}} \] \[ \boxed{ D=\frac{T_{on}}{T_{on}+T_{off}} } \] \[ \boxed{P_{avg}=VID} \] \[ \boxed{ MRR=\frac{\Delta m}{\rho t} } \] \[ \boxed{ TWR=\frac{\Delta m_t}{\rho_t t} } \] \[ \boxed{ N_{MRR}= \frac{MRR-MRR_{min}} {MRR_{max}-MRR_{min}} } \] \[ \boxed{ N_{TWR}= \frac{TWR_{max}-TWR} {TWR_{max}-TWR_{min}} } \] \[ \boxed{ N_{Ra}= \frac{Ra_{max}-Ra} {Ra_{max}-Ra_{min}} } \] \[ \boxed{ CPI= \frac{N_{MRR}+N_{TWR}+N_{Ra}}{3} } \]

33. FINAL PRACTICAL STATEMENT

Hence, the Electrical Discharge Machining process was computationally simulated, the influence of major EDM parameters on MRR, TWR and surface roughness was evaluated, and a multi-objective decision-making framework was applied to identify the best balanced machining condition.

Core learning outcome

\[ \boxed{ \textbf{EDM Simulation} = \textbf{Process Modeling} + \textbf{Performance Prediction} + \textbf{Multi-Objective Optimization} + \textbf{Decision Making} } \]

Note for submission: Keep the Python code, generated graphs, and actual optimum-result table immediately after the corresponding sections. This makes the file look like a genuine computational laboratory experiment rather than only a theoretical report.

Thursday, 3 September 2026

NPTL Ethics Notes week 3&4

Ethics in Engineering Practice & Intellectual Property Rights

1. Ethical Problem Solving & Analytical Decision-Making

Core Ethical Frameworks

Taxonomy of Engineering Issues & Analytical Techniques

Analytical Techniques for Complex Dilemmas

Step-by-Step Decision Framework & Professional Codes

The 8 Roles of Professional Codes of Ethics

2. Intellectual Property Rights (IPR) Framework

The IP Value Chain

Comprehensive Summary of IP Protection Types

3. Global & Indian Legal Frameworks (TRIPS & Legislation)

TRIPS Multilateral Standards & Health Safeguards

Evolution of Indian IP Statutes under TRIPS Compliance

1. Patents Act, 1970 Amendments

2. Trade Marks Act, 1999 (In force 2003)

3. Designs Act, 2000

4. Copyright Act, 1957

4. Synthesis & Quick Revision Table

Contemporary Challenges in Engineering Ethics & IPR

TABLE OF CONTENTS

Paris Convention

1. Treaty Foundations & Institutional Framework

2. Scope of Industrial Property — Article 1

3. Core Principles & Statutory Mechanisms

A. National Treatment (Articles 2 & 3)

B. Right of Priority (Article 4)

C. Common Rules & Statutory Guarantees

Berne Convention

1. Institutional Framework & Evolution

2. Three Basic Principles

3. Economic & Moral Rights Infrastructure

Economic Rights (Articles 8–14)

Moral Rights (Article 6bis)

4. Duration of Protection (Article 7)

5. Limitations, Exceptions & the Three-Step Test

6. Berne Convention and the TRIPS Interlock

TRIPS Agreement

1. Overview

2. Key Legal Principles

3. IP Coverage and Minimum Standards

4. Engineering Ethics Connection

PCT & WIPO

1. Overview of WIPO

2. The Patent Cooperation Treaty (PCT) Framework

3. Two-Phase PCT Process

International Phase

National Phase

4. Practical Engineering Advantages

Computers, Software & Digital Information

1. The Four Major Issues in Computer Ethics

A. Power — Real-World Case Realities

B. Property — Data & Software

C. Privacy

2. Intellectual Property Rights in Software

3. Critical Safety-System Failures in Software Engineering

Therac-25 Radiation Therapy Disaster (1985–1987)

Boeing 737 MAX — MCAS Failures (2018–2019)

4. Distinctive Characteristics of Digital Information

5. Challenges of the Information Age

Nuclear Ethics, Weapons & Engineering Responsibility

1. The Fundamental Ethical Dilemma

2. Philosophical Analysis of Nuclear Deterrence

A. Utilitarian Perspective (Bentham, Mill)

B. Deontological Perspective (Kant)

3. International Treaties & the Non-Proliferation Regime

4. Technical Disasters & Engineering Safety Culture

Chernobyl Nuclear Power Plant (26 April 1986)

Fukushima Daiichi Disaster (11 March 2011)

Engineering Safety Imperatives

5. IAEA Code of Ethics for Nuclear Agencies

6. The Engineer's Ethical Position — A Synthesis

Comparative Exam Summary

Sub section 1.2

इंजीनियरिंग प्रैक्टिस में नैतिकता

बौद्धिक संपदा कानून, डिजिटल नैतिकता एवं परमाणु उत्तरदायित्व

विषय-वस्तु का क्षेत्र

विषय-सूची

भाग I