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NPTEL

Basics of Mechanical Engineering - 3

NPTEL via Swayam

Overview

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ABOUT THE COURSE:This course is the second part of a three-part series which gives a brief introduction about basic mechanical engineering concepts. The course, due to the huge amount of content, is split into three: This course encompasses the concepts of fluid mechanics including the basic concepts of fluid mechanics, the basic and important theorems, laws, and equations governing fluid flow, types of flow, and advanced concepts like aerodynamics. The course also discusses thermal sciences concepts like properties, state, equilibrium, heat, energy, and work, processes, cycles, heat transfer methods, etc. Some optimization concepts like gradient descent and simplex methods are also covered in this course. The course will enable the student to have a firm grasp on these basic concepts and will serve as an introductory course which will discuss these topics and help students to develop interest and knowledge in basic and core concepts of mechanical engineering.INTENDED AUDIENCE: Students of all Engineering and Science disciplines.PREREQUISITES: The student should have completed two semesters of UG Engineering or Science program.INDUSTRY SUPPORT: HAL, NAL, SAIL, ISRO

Syllabus

Week 1:
Module 1 : Fluids, vacuum, continuum, no-slip condition
Module 2 : Properties of fluid: physical and thermal, ideal fluid, effect of temperature on fluids
Module 3 : Stream line, streak line, path line, time line, velocity potential, stream function
Module 4 : Newtonian v/s non-Newtonian fluids, compressible v/s incompressible fluids

Week 2:
Module 1 :Lagrangian and Eulerian concepts, control volume and control surface
Module 2 :Hydrostatic law, Pascal law, Bernoulli’s theorem
Module 3 :Laminar and turbulent flow, Vortex, vorticity, and vorticity equations
Module 4 :Reynolds transport theorem

Week 3:
Module 1 :Navier Stokes equation, Couette flow, Hagen Poiseuille flow
Module 2 :Boundary layer, Prandtl number
Module 3 :Flux, flow rate, non-dimensional numbers, flow measurement devices
Module 4 :Potential flow, flow separation

Week 4:
Module 1 :Aerodynamics, lift and drag, airfoil theory
Module 2 :Turbine, pump
Module 3 :Compressor
Module 4 :Nozzle, throttling valves, mixing chambers

Week 5:
Module 1 : Kinetic theory of gas
Module 2 :State and equilibrium
Module 3 :Process, cycle, reversibility of a process
Module 4 :Work, energy, first law of thermodynamics, potential energy, kinetic energy

Week 6:
Module 1 :Temperature, heat, Zeroth law of thermodynamics,thermometry
Module 2 :Second law of thermodynamics, enthalpy, exergy,third law of thermodynamics
Module 3 :Perpetual motion machines, heat engine, refrigerator,coefficient of performance
Module 4 :Entropy, entropy generation, third law of thermodynamics

Week 7:
Module 1 :Gas power cycles
Module 2 :Vapor power cycles
Module 3 :Refrigeration cycles
Module 4 :Reheating and regeneration, jet propulsion cycles

Week 8:
Module 1 :Pure substances and their properties
Module 2 :Saturation, reference states and values, property tables
Module 3 :Dry bulb temperature, wet bulb temperature,
Module 4 :Phase change in fluids, multiphase flows

Week 9:
Module 1 :Conduction and radiation
Module 2 :Convection
Module 3 :Heat exchangers, heat transfer
Module 4 :Boiling and condensation, mass transfer

Week 10:
Module 1 :Power plants
Module 2 :IC engines, SI and CI engines
Module 3 :Electric vehicle & its operation compared to IC engine
Module 4 :Computational fluid dynamics

Week 11:
Module 1 :Optimality, zero of a problem, problem modelling, constraints, maxima, minima, penalty and penalty functions
Module 2 :Linear programming problem, duality, sensitivity analysis
Module 3 :Graphical solution, simplex method
Module 4 :Taylor’s theorem and approximations, direction vector

Week 12:
Module 1 :Steepest descent method, golden search method and other advanced methods
Module 2 :Transportation, assignment, and network problems
Module 3 :Genetic algorithm, Particle Swarm optimization, Ant colony optimization
Module 4 :Use of solvers in Excel and Matlab

Taught by

Prof. Janakranjan Ramkumar, Prof. Amandeep Singh Oberoi

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