Entropy In Engineering Thermodynamics by PK NAG (Chapter 07) | EveryEng

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Entropy In Engineering Thermodynamics by PK NAG (Chapter 07)

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₹ 500

422 min

Anytime

Hindi

5149 views

Saurabh Kumar GuptaMechanical Engineer

Oil & Gas Upstream

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Why enroll

This course is based on PK Nag's Book Chapter 07, to excel in the GATE (Graduate Aptitude Test in Engineering) examination and to secure good marks in other engineering exams. Thermodynamics is a crucial subject in the engineering syllabus, and mastering the concepts and applications presented in Chapter 07 is essential to achieving a high score. By taking this course, individuals can gain a comprehensive understanding of thermodynamic principles, practice solving problems, and develop strategies to tackle complex questions. With a strong foundation in thermodynamics, students can confidently approach the GATE exam and improve their chances of securing admission to top engineering programs or landing coveted jobs at top PSUs.

Master the fundamentals of thermodynamics and unlock the secrets of energy conversion, efficiency, and optimization—enroll now and become a thermal energy expert!

Your instructor

Saurabh Kumar Gupta

Content Manager

Mechanical Engineer

5+ yrs experience·India

Is this course for you?

You should take this if

You work in Oil & Gas Upstream or HVAC
You're a Chemical & Process / Mechanical Engineering professional
You prefer self-paced learning you can revisit

You should skip if

You need a different specialisation outside Chemical & Process
You need live interaction with an instructor

Course details

Entropy is a fundamental concept in thermodynamics, statistical mechanics, and information theory, representing a measure of disorder, randomness, or uncertainty in a system. In thermodynamics, entropy quantifies the amount of thermal energy unavailable to do work in a system, often associated with the disorder or randomness of molecular motion. As entropy increases, the system becomes more disordered, and energy becomes less organized and less useful. The second law of thermodynamics states that the total entropy of an isolated system always increases over time, or remains constant in idealized reversible processes. Entropy has far-reaching implications in various fields, including physics, chemistry, biology, and information theory, helping to explain phenomena such as the direction of spontaneous processes, the efficiency of energy conversion, and the limits of data compression. By understanding entropy, scientists and engineers can better design and optimize systems, predict the behavior of complex systems, and appreciate the fundamental laws governing the behavior of energy and matter.

Course suitable for

Key topics covered

Two reversible adiabatic curve never intersect
Clausius theorem
Clausius inequality
Entropy principle
Application of entropy principle
Solved example
Combined tds eq
TS diagram
Entropy change for incompressible substance
Entropy change in polytropic process
Entropy generation for open system
Third law of thermodynamics
PK NAG PROBLEMS

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

15 lectures7 hr 2 min

Two reversible adiabatic curve never intersect
5 min
Clausius Theorem
19 min
Clausius Inequality | Property of Entropy
25 min
Entropy Principle | Entropy Generation
57 min
Application of Entropy Principle | Example PK nag Ex7.7 &7.9
54 min
Solved Example PK Nag Book Ex-7.1 to 7.3 & 7.8 | Entropy Principle
39 min
Combined 1st and 2nd Law | Tds =dU+PdV | Tds=dH-vdP
20 min
Temperature Entropy Diagram | T S Diagram
26 min
Entropy Change for an Incompressible & Compressible Substance
26 min
Entropy Change in a Polytropic Process
8 min
Entropy Generation For Open System | Solved Example 7.12 & 7.13
21 min
Third Law Of Thermodynamics
4 min
Pk Nag Problem Chapter-7 Entropy (Page No.-225) | Q-2 to 16
52 min
Pk Nag Problems (Chapter-7 Entropy) Q 17 to Q 26
35 min
Pk Nag Problems | Chapter-7 Entropy | Q 27 to Q 38
31 min

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Questions and Answers

Q: You're commissioning a gas–gas heat exchanger and searching "entropy generation during heat transfer across finite temperature difference" because outlet temperatures don't match design; which interpretation aligns with second-law behavior?

A: Option A would hide real irreversibility and lead you to chase fouling that may not exist. Option B misapplies local balances and ignores total entropy production. Option C restricts entropy generation to phase change and misses the dominant mechanism here. Option D matches second-law behavior for real heat exchangers with finite ΔT.

Q: During pre-commissioning you google "API separator efficiency entropy balance commissioning" after seeing higher fuel usage; why do API gravity separators implicitly assume entropy increase in real operation?

A: Option A would contradict observed pressure drop and energy loss. Option B mixes mechanical integrity with thermodynamic performance. Option C shifts losses downstream and underestimates power demand. Option D reflects why API designs never assume reversible separation.

Q: A compressor train shows rising discharge temperature and you're searching "entropy increase in compressor due to internal leakage"; which root cause best fits the entropy balance?

A: Option A wouldn't explain step changes tied to load. Option C affects readings but not actual power draw. Option D shifts baseline but not the sudden entropy generation observed. Option B creates real irreversibility through mixing and friction inside the casing.

Q: You're checking a throttling valve and type "isenthalpic vs isentropic expansion valve selection" before startup; which statement matches entropy behavior across the valve?

A: Option A confuses first-law and second-law constraints. Option B would imply recoverable work that the valve doesn't deliver. Option C ties entropy sign to hydraulics rather than irreversibility. Option D reflects classic throttling behavior taught and seen in the field.