To acquaint the students with basic laws of thermodynamics and statistical physics, methods of producing low temperatures, Carnots engine so that they develop the scientific attitude to relate this knowledge to their daily life experiences.
Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
|
---|---|---|---|---|
Paper Code |
Paper Title |
|
|
|
PHY 301 |
Thermodynamics and Statistical Physics
|
After completion of the course the student will be able to
|
Approach in teaching: Interactive Lectures, Discussion, Tutorials, Power point presentation,Problem Solving in tutorials
Learning activities for the students: Self learning assignments, Effective questions, Seminar presentation, Solving numericals |
Class test, Semester end examinations, Quiz, Solving problems, Assignments, Presentations |
The Zeroth law, Various indicator diagrams(P-V diagram), First law of thermodynamics, Reversible and irreversible processes, Carnot’s engine, Carnot’s cycle and efficiency of Carnot’s engine, reversibility of Carnot’s engine, Carnot’s theorem. Second law of thermodynamics, (different statements and their equivalence) Entropy, Principle of increase of entropy, Thermodynamic scale of temperature, Thermodynamic scale as an absolute scale, Third law of thermodynamics.
Maxwell’s thermodynamic relations, Triple point, Clausius Clapyron latent heat equation,Effect of pressure on boiling point of liquids, Helmholtz free energy, Enthalpy, Gibbs function,Internal energy,Thermodynamic potentials, Deduction of Maxwell’s relations from thermodynamic potentials.
Joule Thomson expansion and JT coefficient for ideal as well as Vander Waals gas, Porous plug experiment, Temperature of inversion, Regenerative cooling, cooling by adiabatic expansion and demagnetization, liquid He, He I and He II, Peculiar properties of He II, Nernst heat theorem.
Distribution law of molecular velocities, Most probable, Average and RMS velocities, energy distribution function, Experimental verification of Maxwell velocity distribution, Principle of equipartition of energy.Mean free path and collision cross section, distribution of mean free path, Transport of mass, momentum and energy and their interrelationship, (coefficient of viscosity ,thermal conductivity & diffusion)
Classical Statistics :
Phase space, micro and macro states, Thermodynamic probability, relation between entropy and thermodynamic probability, Monatomic ideal gas, specific heat capacity of diatomic gas and specific heat of solids.
Quantum Statistics :
Failure of classical statistics (Blackbody radiation and various laws of distribution of radiation, qualitative discussion of Weins and Rayleigh Jeans Law) Postulates of quantum statistics, Indistinguishability of wave function and exchange degeneracy, Bose Einstein statistics and its distribution function,. Planck’s distribution function and radiation formula, Fermi Dirac statistics and its distribution function.