Lecture 1:

Introduction to Thermodynamics – Role of thermodynamic Principles in real-life situations – active learning and attitude of a true student – Course Outline – Syllabus

Lecture 2:

  1. (n+2) rule
  2. Existence of stable equilibrium
  1. State
  2. Point and Path Functions
  3. Work

Lecture 3:

Lecture 4:

  1. Sensible Heat
  2. Latent Heat: -Change of Phase, Chemical Reaction, Nuclear Reaction

Lecture 5:

Flow Systems:

Force balance on steady-state, steady flow systems

    1. Isothermal Expansion
    2. Converging Nozzle
    3. Heat Exchanger
    4. Adiabatic periodic piston
    5. Ideal isothermal turbine
    6. Ideal adiabatic turbine


Lecture 7:

Work – Energy cycles with examples – Flow Systems – Batch systems – Bernoulli equation as a special case of 1st law of thermodynamics


Ideal Isothermal Turbine

The difference in the work produced in an adiabatic batch vs. flow system is related to the difference in D H & D U = D (PV)

= -nCp (T2-T1)

Example 4: Adiabatic Expansion @ Constant Volume

For P >> Pintial; T ΰ g Te

Lecture 8:

Definition of Path Function

Part II of Example 4 – Constant Adiabatic Expansion @ Constant Pressure

Example 8 – Home Work problem 2.32: Real Gas work: Isothermal batch systems – Home Work Problem 2.29: ; H2-H1 = (v12-v22)/2

Lecture 9:

Historical approach to the second law of thermodynamics – Carnot (heat engine) and Clausius (entropy)

Examples demonstrating the Entropy phenomena, Concept of Equilibrium, Heat and Work

Definition of Reversible process – Rankine cycle

Concept of Thermodynamic Temperature

Lecture 10:

Definition of Thermodynamic Efficiency (h ) and its derivation

Introduction to Entropy – Definition, Concept of Entropy from heat engines

For any isolated system D Ssystem ³ 0;

For any system D Ssystem+D Ssurroundings ³ 0

Homework Problems: 5.5, 5.8, 5.14

Entropy and 2nd law of Thermodynamics – Definition and derivation of thermodynamic efficiency – Efficiency limits – functionality

Carnot Cycle: Definition and derivation of Carnot efficiency

Clausius’ Theorem: Any process can be broken into equivalent adiabatic and isothermal steps

For a process with less than a complete cycle, entropy is defined as:

Entropy is a state function; Entropy of the Universe is never conserved

Lecture 11:

Combined 1st and 2nd law of Thermodynamics: Conservation of Energy with respect to Entropy

Ideal gases and 2nd law of Thermodynamics: Isochoric process, Isobaric Processes, Isothermal processes, Processes from (P1, V1, T1) to (P2, V2, T2) – with respect to Entropy and Adiabatic reversible processes: Isentropic processes

(n+2) rule for a single phase system with respect to Entropy

Examples of Second law of Thermodynamics, Reversible work, to calculate change in Entropy: Bird problem, Hilsch tube etc.