MTech in Mechanical Engineering
(Specialization: Fluids and Thermal Engineering)
Semester - 1 |
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Semester - 2 |
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Course No |
Course Name |
L-T-P-C |
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Course No |
Course Name |
L-T-P-C |
ME 501 |
Advanced Engineering Mathematics |
3-0-2-8 |
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ME 522 |
Convective Heat and Mass Transfer |
3-0-0-6 |
ME 520 |
Fluid Mechanics |
3-0-0-6 |
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ME 523 |
Advanced Engineering
Thermodynamics |
3-0-0-6 |
ME 521 |
Experimental Methods |
3-0-0-6 |
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ME 6xx |
Elective III |
3-0-0-6 |
ME 6xx |
Elective I |
3-0-0-6 |
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ME 6xx |
Elective IV |
3-0-0-6 |
ME 6xx |
Elective II |
3-0-0-6 |
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ME 6xx |
Elective V |
3-0-0-6 |
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Total Credits: |
15-0-2-32 |
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Total Credits: |
15-0-0-30 |
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Semester - 3 |
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Semester 4 |
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Course No |
Course Name |
L-T-P-C |
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Course No |
Course Name |
L-T-P-C |
ME 610 |
Project Phase I |
0-0-24-24 |
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ME 690 |
Project Phase II |
0-0-24-24 |
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Total Credits: |
0-0-24-24 |
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Total Credits: |
0-0-24-24 |
ME 501 Advanced
Engineering Mathematics
(3-0-2-8)
Vector and Tensor Analysis
in Cartesian system, effect of rotation of coordinate systems. Review of ODEs; Laplace
& Fourier methods, series solutions, and orthogonal polynomials. Sturm-Liouville problem. Review of 1st
and 2nd order PDEs.
Linear systems of algebraic equations. Gauss elimination, LU
decomposition etc., Matrix inversion, ill-conditioned systems. Numerical eigen solution techniques
(Power, Householder, QR
methods etc.). Numerical solution of systems of nonlinear algebraic
equations; Newton-Raphson method.
Numerical integration: Newton-Cotes methods, error estimates, Gaussian
quadrature. Numerical solution of ODEs: Euler, Adams, Runge-Kutta methods,
and predictor-corrector procedures; stability of solutions; solution of stiff
equations. Solution of PDEs:
finite difference techniques. Probability and Statistics – Probability
Distribution, Bays Theorem, Parameter Estimation, Testing of Hypothesis,
Goodness of Fit. Laboratory: Basics of programming. Numerical experiments with the
algorithms covered in class. Texts/References: 1.
E.
Kreyzig, Advanced Engineering
Mathematics, New Age International, 1996. 2.
D. S.
Watkins, Fundamentals of Matrix
Computations, John Wiley, 1992. 3. M. K. Jain, S. R. K. Iyengar, and R. K.
Jain, Numerical Methods for Scientific
and
Engineering Computation, 3rd Ed., New Age International, 1993. 4.
D.S.
Chandrashekaraiah and L. Debnath, Continuum
Mechanics, Academic Press, 1994. 5.
M.K.
Jain, S.R.K. Iyenger and R.K. Jain, Computational Methods for Partial Differential Equations,
New Age International, 1994. 6.
R.
Courant and D. Hilbert, Methods of
Mathematical Physics, Wiley, 1989. 7.
P.V. O’Neil, Advanced
Engineering Mathematics, Cengage Learning, 2007. 8.
G. B. Arfken, H. J. Weber and F.Harris,
Mathematical
Methods for Physicists,
5th Ed., Academic Press, 2000. |
ME 520 Fluid
Mechanics
(3
0 0 6) Fluid kinematics; Integral
and differential forms of governing equations; Mass, momentum, and energy
conservation equations; Navier-Stokes equations and its applications;
Potential flow; Laminar boundary-layer; Free-shear flows: jet, wake, and
mixing layer; Instability and transition; Turbulent flow; Compressible flow:
Isentropic flow; flow with area change; flow with heat transfer; flow with
friction. Texts: 1.
B.R.Munson, D.F.Young and T.H.Okiishi., Fundamental of
Fluid Mechanics, John Wiley and Sons., 1994. 2.
P.M.Gerhar, R.J.Gross and J.I.Hochstein., Fundamentals
of Fluid Mechanics, Addison-Wesley Publishing Co., 1993 3.
H.Schlichting, Boundary Layer Theory,
McGraw-Hill Series in Mechanical Engineering, 1979 4.
F.M.White, Fluid Mechanics, McGraw-Hill
international editions., 1994. 5.
F.M.White, Viscous Fluid Flow, McGraw-Hill
international editions., 1991 |
ME 521 Experimental
Methods (2
0 2 6) Theory and Experimentation
in Engineering: Problem solving approaches, Types of engineering experiments,
computer simulation and physical experimentation; Generalized measuring
system, types of inputs, analog and digital signals, standards, calibration
and uncertainty, Measurement System: Performance characteristics, static
performance characteristics-static calibration-linearity, static sensitivity,
repeatability, hysteresis- threshold- resolution, readability and span;
Analysis of Experimental Data : Causes and types of experimental error,
un-certainty analysis, statistical analysis of data, probability
distributions and curve fitting; Dynamic performance characteristics; Input
types; Instrument types- zero order instrument, first order instrument,
second order instrument; Experiment Plans: Model building; Measurement Methods
and Applications : Measurement of force and torque; Measurement of strain and
stress; Measurement of pressure; Flow measurement and flow visualization;
measurement of temperature; optical methods of measurements; Data Acquisition
and Processing : Types and configurations of DAS, signal conditioning, A/D,
D/A conversion; Design, Planning, Execution and Analysis of experimental
projects. Texts: 1. Beckwith,
Buck, and Marangoni, Mechanical Measurements, Narosa Publishing House,
1995. 2. Doeblin, Measurement
Systems - Application and Design, 4e, McGraw-Hill, 1990. 3. Holman, Experimental
Methods for Engineers, 6e, McGraw-Hill, 1994. 4. Doeblin, Engineering
Experimentation, McGraw-Hill, 1995. |
ME 522 Convective
Heat and Mass Transfer (3 0 0 6) Conservation equations and
boundary conditions; One-dimensional solutions; Heat transfer in laminar
developed and developing duct flows; Laminar boundary layers: Similarity and
integral solutions; Turbulence fundamentals and modeling; Heat tranfer in
turbulent boundary layers and turbulent duct flows; Laminar and turbulent
free convection; Fundamentals of boiling and condensation; Numerical methods. Texts: 1. W. M. Kays
and E. M. Crawford, Convective Heat and Mass Transfer, Mc Graw
Hill,1993. 2. Louis C
Burmeister, Convective Heat Transfer, John Wiley and Sons, 1993. 3. Adrian Bejan,
Convective Heat Transfer, John Wiley and Sons, 1995. |
ME 523 Advanced
Engineering Thermodynamics (3 0 0 6) Review of fist
and second law of thermodynamics, Maxwell equations, Joule-Thompson
experiment, irreversibility and availability, exergy analysis, phase
transition, types of equilibrium and stability, multi-component and
multi-phase systems, equations of state, chemical thermodynamics,
combustion. Third law of
thermodynamics Kinetic theory of gases- introduction, basic assumption,
molecular flux, equation of state for an ideal gas, collisions with a moving
wall, principle of equipartition of energy, classical theory of specific heat
capacity. Transport phenomena-intermolecular forces, The Van der Waals
equation of state, collision cross section, mean free path Statistical thermodynamics- introduction, energy states and
energy levels, macro and microscales, thermodynamic probability, B-E, F-D,
M-D statistics, distribution function, partition energy, statistical
interpretation of entropy, application of statistics to gases-mono-atomic
ideal gas, distribution of molecular velocity, ideal gas in a gravitational
field. References: 1. F.W.Sears and G.L.Salinger, Thermodynamics, Kinetic Theory
And Statistical Thermodynamics, Narosa Publishing House, New Delhi. 2. Wylen and Sontag, Fundamentals of Classical Thermodynamics,
Wiley Eastern Limited, New Delhi. 3. M.J.Moran and H.N.Shapiro, Fundamentals Of Engineering
Thermodynamics, John Wiley and Sons. 4. Zemansky, Engineering Thermodynamics, Mc Graw Hill. 5. Bejan, Advanced Engineering Thermodynamics, John Wiley and
sons. |
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