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Entropy In Engineering Thermodynamics by PK NAG (Chapter 07)

Entropy In Engineering Thermodynamics by PK NAG (Chapter 07) banner
Preview this course
Self-paced Beginner

Entropy In Engineering Thermodynamics by PK NAG (Chapter 07)

4(144)
19 enrolled
5193 views
₹ 500
422 min
Anytime
Hindi
5193 views
Saurabh Kumar Gupta
Saurabh Kumar GuptaMechanical Engineer
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  • Lifetime access
  • Certificate of completion

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!

What enrolled engineers say

21 verified reviews
  • Feb 25, 2026

    This course turned out to be more technical than I anticipated. Even though it’s tagged beginner, Chapter 07 on entropy goes straight into the why behind losses, which was useful coming from field-heavy work. Concepts like entropy generation and the Clausius inequality helped connect dots I’d previously treated as rules of thumb. On the oil & gas side, the discussion around isentropic processes made more sense of compressor and turbine efficiency calculations used in gas compression trains. In HVACR work, the T–s diagram explanations directly tied into vapor compression refrigeration cycles, especially understanding why real compressors drift from ideal behavior and how that shows up as extra power draw. One challenge was keeping track of reversible vs irreversible processes when solving problems; it’s easy to mix assumptions if you’re used to shortcut methods. Working through the solved examples helped slow that down. A practical takeaway was being able to sanity-check performance data using entropy changes instead of just trusting vendor curves. That filled a gap left by on-the-job learning, where entropy is mentioned but rarely explained. It definitely strengthened my technical clarity.

    Ragnar the red R. Verified
  • Feb 25, 2026

    Coming into this course, I had some prior exposure to the subject from plant calculations, but entropy always felt like something you plug into equations without fully trusting it. Chapter 07 from PK Nag helped clear that up in a very grounded way. The treatment of entropy balance for closed and open systems finally connected with things seen in oil & gas work, especially when looking at gas turbine performance and why real compressors never hit ideal efficiency. One challenge was keeping the sign conventions straight while doing entropy generation calculations, particularly when heat transfer crosses system boundaries at different temperatures. It took a couple of reworks of the examples to stop mixing that up. The T–s diagram discussion also helped bridge that gap, and it directly tied into HVACR topics like vapor compression cycles and throttling losses in expansion valves. A practical takeaway was learning to use entropy generation as a quick check on where irreversibilities are creeping into a system, instead of just blaming “losses.” That’s already useful when reviewing HVAC load calculations and heat exchanger selections. The course filled a knowledge gap between theory and day-to-day engineering decisions. I can see this being useful in long-term project work.

    Rahul B. Verified
  • Feb 25, 2026

    Initially, I wasn’t sure what to expect from this course, especially since entropy always felt like one of those topics that stayed abstract back in college. Chapter 07 actually helped bridge that gap. The way entropy balance was tied to real processes made it easier to relate to day-to-day engineering work. From an oil & gas perspective, the discussion around irreversibility clicked when thinking about compressor inefficiencies and pressure drops across valves. Entropy generation finally felt like a useful diagnostic, not just a formula. On the HVACR side, linking entropy changes to refrigeration cycles and COP helped clarify why certain cycle modifications don’t give the gains people expect in practice. One challenge was keeping track of sign conventions and distinguishing reversible versus irreversible processes, especially when applying the equations to control volumes. That took a couple of re-reads and some side calculations. The practical takeaway was learning to set up a proper entropy balance before jumping into numbers, which is something already being applied while reviewing a heat exchanger issue on a current project. Overall, it felt grounded in real engineering practice.

    Team E. · Engineer Verified

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

Opportunities that await you!

Career opportunities

Course Attachments

LEC-57.pdf

LEC-58.pdf

LEC-59.pdf

lec-60.pdf

lec-61.pdf

lec-62.pdf

lec-63.pdf

lec-64.pdf

lec-65.pdf

lec-66.pdf

lec-67.pdf

lec-68.pdf

lec-69.pdf

lec-70.pdf

lec-71.pdf

Why people choose EveryEng

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What learners say about this course

shivaay
shivaay
Feb 16, 2026

Nice

Ra Hul
Ra Hul
May 3, 2026

Hit a few conceptual bottlenecks lately, and this chapter lined up with what I needed. The piston-cylinder boundary work example in Chapter 04, especially the sign convention table when heat/work flip during compression, stuck; I’ve already referenced it in a repo note for an infra PR. Not everything landed; wanted a quicker bridge to open systems or a brief hvacr tie-in, but for a beginner pass it wasn’t fluff. It nudged how I think about scaling load paths in prod arch, RPS included.

Khushal Mahajan
Khushal Mahajan student
May 3, 2026

Module-to-module flow felt natural, so it's easy to jump in between meetings without losing context. Chapter 04’s boundary work bit stuck, especially the P–V diagram walkthrough to W = ∫PdV and the spring-loaded piston example. wasn't sold on the heat vs work sign table; I wished for one more numeric check tied to the plot. I've already used the framing to trim an overcooked arch note in our repo and tighten a PR comment touching prod infra.

Cute Yash
Cute Yash
May 3, 2026

Feels built by someone who’s had to push ideas all the way to prod, not just chalkboard. Chapter 04’s piston–cylinder with a linear spring example stuck; the step where boundary work flips sign after defining the system boundary cleared up a confusion I’ve seen bleed into infra docs and PRs. It’s beginner-friendly without hand-waving, though I wasn’t sold on skipping KE/PE so quickly. good enough that I’ve gone back twice to re-read the cyclic process section.

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Questions and Answers

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.

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.

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.

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.