MTech in Mechanical
Engineering
(Specialization:
Computational Mechanics)
SEMESTER-I
Course No. |
Course Name |
L-P-T-C |
ME 501 |
Advanced
Engineering Mathematics |
3-0-2-8 |
ME 541 |
Continuum Mechanics |
3-0-0-6 |
ME 542 |
Numerical
Analysis |
2-0-2-6 |
ME 543 |
Computational
Fluid Dynamics |
3-0-0-6 |
ME XXX |
Elective
-I |
3-0-0-6 |
|
Total |
14-0-4-32 |
SEMESTER-II
Course No. |
Course Name |
L-P-T-C |
ME 532 |
Finite
Element Methods in Engineering |
3-0-0-6 |
ME XXX |
Elective
–II |
3-0-0-6 |
ME XXX |
Elective
–III |
3-0-0-6 |
ME XXX |
Elective
–IV |
3-0-0-6 |
ME XXX |
Elective
–V |
3-0-0-6 |
ME 544 |
Computational
Mechanics Lab |
0-0-2-2 |
|
Total |
15-0-0-32 |
SEMESTERS-III
Course No. |
Course Name |
L-P-T-C |
ME 610 |
Project
Phase-I |
0-0-24-24 |
SEMESTERS-IV
Course No. |
Course Name |
L-P-T-C |
ME 690 |
Project
Phase-II |
0-0-24-24 |
ME
541 Continuum
Mechanics (3-0-0-6) Introduction
to continuum mechanics: Cartesian tensors, state of stress, kinematics of
deformation and general principles of mechanics; Analysis of stresses and
strains; Cauchy’s formula; Principal stresses and principal strains;
Mohr’s Circle; Octahedral Stresses; Hydrostatic and deviatoric
stress; Differential equations of equilibrium; Plane stress and plane strain;
Compatibility conditions; Generalized Hooke’s law and theories of
failure; Energy Methods; Bending and torsion of thin walled sections;
Euler’s buckling load; Beam Column equations. Introduction to fluid kinematics;
Integral and differential forms of governing equations; Conservation
equations; Navier-Stokes equations and
applications; Potential flow; Laminar boundary-layer; Introduction to
Free-shear flows and instabilities; Basics of compressible flow. Texts/ References: 1.
R.L. Panton, Incompressible Flow, 2nd
Edn.,
Wiley, 1996. 2.
F.M. White, Fluid Mechanics, 7th
Edn.,
McGraw-Hill international Editions, 2010. 3. H. Schlichting and K. Gersten, Boundary Layer Theory, 8th Edn., Springer, 2000.
4. J.N. Reddy, Principles of Continuum Mechanics, Cambridge University Press,
2010. 5. S.P.
Timoshenko and J.N. Goodier, Theory of Elasticity, 3rd Edn., McGraw Hill
Publishing Co. 1970. 6. L.S.
Srinath, Advanced
Mechanics of Solids, 2nd Edn., TMH Publishing Co. Ltd., New Delhi, 2003. 7. D.
S. Chandrasekharaiah and L. Debnath,
Continuum Mechanics, Academic
Press, 1994. ME 542 Numerical
Analysis (2-0-2-6) Round-off
errors and computer arithmetic; Interpolation: Lagrange, Divided differences,
Hermite and spline
interpolation; Numerical differentiation, Numerical quadrature:
Newton-Cotes, Simpson's rule, Gauss quadrature;
Solutions of linear equations: Gauss elimination, Matrix factorizations;
Iterative methods: Gauss-Seidel, Jacobi, Relaxation methods; Computation of eigenvalues and eigenvectors; Numerical solution of
nonlinear equations; Numerical solutions to initial and boundary value
problems. Laboratory component:
The lab is intended to be a platform for students to get used to scientific
computing. Strong emphasis is
laid on computer programming and the student is expected to write his own
programs/codes for prototypical mathematical problems which will have
real--life applications in the area of computational mechanics. Texts/References: 1. S.
D. Conte and C. de Boor, Elementary
Numerical Analysis, 3rd Edn., Tata McGraw-Hill Education, 2005. 2. F.B.
Hildebrand, Introduction to Numerical
Analysis, 2nd (Revised) Edn., Courier Dover Publications, 1987. 3. E. Kreyszig, Advanced Engineering Mathematics, 10th
Edn.,
John Wiley and Sons, 2010. 4. R. Burden and J. Faires,
Numerical Analysis, 8th Edn.,
Brooks/Cole, 2001. 5. L.N. Trefethen
and D. Bau III, Numerical
Linear Algebra, SIAM, 1997. 6. A.Quarteroni, R. Sacco and F. Saleri,
Numerical Mathematics, Springer-Verlag, New York, 2000. ME
543 Computational Fluid
Dynamics (3-0-0-6) Basic equations of
Fluid Dynamics: General
form of a conservation law; Equation of mass conservation; Conservation law
of momentum; Conservation equation of energy. The dynamic levels of approximation. Mathematical nature of PDEs and flow
equations. Basic Discretization techniques: Finite Difference Method (FDM); The Finite Volume Method (FVM) and
conservative discretization. Analysis and Application of Numerical
Schemes: Consistency; Stability; Convergence; Fourier or von Neumann
stability analysis; Modified equation; Application of FDM to wave, Heat,
Laplace and Burgers equations. Integration
methods for systems of ODEs: Linear multi-step methods;
Predictor-corrector schemes; ADI methods; The Runge-Kutta
schemes. Numerical solution of the
compressible Euler equations: Mathematical formulation of the system
of Euler equations; Space-centred schemes; Upwind
schemes for the Euler equations – flux vector and flux difference
splitting; Shock-tube problem. Numerical
solution of the incompressible Navier-Stokes
equations: Stream function-vorticity
formulation; Primitive variable formulation; Pressure correction techniques
like SIMPLE, SIMPLER and SIMPLEC; Lid-driven cavity flow; Brief discussion of
numerical methods for conduction and convection. Texts/References: 1.R. Pletcher, J. Tannehill
and D. Anderson, Computational Fluid
Mechanics and Heat Transfer, 3rd Edn., CRC Press, 2012. 2.H.K. Versteeg and W. Malalasekera,
An introduction to computational fluid
dynamics: The finite volume method, 3rd Edn., Pearson Education,
2007. 3.C. Hirsch, Numerical
Computation of Internal and External Flows, Vol.1 (1988) and Vol.2 (1990),
John Wiley & Sons. 4.J. H. Fergiger and M. Peric,
Computational Methods for Fluid
Dynamics, 3rd Edn., Springer, 2002. 5.T. J. Chung, Computational
Fluid Dynamics, 2nd Edn., Cambridge University Press, 2010. 6.C. A. J. Fletcher, Computational
Techniques for Fluid Dynamics Vols. 1 and 2, 2nd Edn., , Springer, 1991. 7.S.V. Patankar, Numerical Heat Transfer and Fluid Flow, Hemisphere, 1980. 8.J. D. Anderson (Jr.), Computational
Fluid Dynamics, McGraw-Hill International Edition, 1995.
ME 544 Computational Mechanics Lab (0-0-2-2)
Introduction to operating systems and high-level programming languages, Use of symbolic software packages like MATLAB, MAPLE and MATHEMATICA, Hands-on practice using finite element software packages like ANSYS and ABAQUS as well as computational fluid dynamics related software such as COMSOL,OpenFOAM and FLUENT, Code development for problems involving solid mechanics, fluid mechanics and heat transfer.
ME 610/690 Project Phase – I / II (0-0-24-24) The
dissertation project is intended to be a work primarily in the area of
computational mechanics involving problems of fluid flow, heat transfer
and/or solid mechanics. The student is expected to make some genuine
contribution into his field of research and learn to apply the fundamental
principles of mechanics to a problem of engineering interest. Research in
interdisciplinary areas is highly encouraged and theoretical and/or
experimental work are also welcome, provided they complement the computational
studies undertaken as part of the project. The project, which must be
predominantly computational, is to be completed over two semesters, with
equal credits being awarded in both semesters. LIST OF ELECTIVES AND SYLLABI OF NEWLY
PROPOSED ELECTIVES The following are
the list of electives for the Computational Mechanics program. All elective
courses have 6 credits. ME
531 Mechanical Vibrations ME
522 Convective Heat and Mass Transfer ME
601 Gas Dynamics ME
607 Introduction to Composite Materials ME
609 Optimisation Methods in Engineering ME
613 Nonlinear Vibrations ME
625 Fracture Mechanics ME
648 Viscous Fluid Flow ME
651 Numerical Methods for Thermal Radiation Heat Transfer ME
656 Numerical Simulation and Modelling of Turbulent Flows ME
668 Aerodynamics ME
670 Advanced Computational Fluid Dynamics ME
674 Soft Computing in Engineering ME
682 Nonlinear Finite Element Methods ME
683 Computational Gas Dynamics ME 682 Nonlinear
Finite Element Methods (3-0-0-6) Fundamentals
of finite deformation mechanics; Kinematics; Stress measures; Balance laws;
Objectivity principle; Newton-Raphson procedure;
Finite element formulation for plasticity and nonlinear elasticity; Stress
update algorithms for plasticity; Finite element procedures for dynamic
analysis; Explicit and implicit time integration. Finite element modelling of contact problems; Slide-line methods and
penalty approach; Adaptive finite element analysis - Automatic mesh
generation, Error estimation, Choice of new mesh, and Transfer of state
variables. Texts/References:
1. K.J. Bathe, Finite Element Procedures, 2nd Edn., Prentice Hall, 1996. 2. T. Belythschko, W.K. Liu and B. Moran, Nonlinear Finite Elements for Continua and Structures, Wiley, 2000. 3. P.K. Kythe and D.Wei, An Introduction to Linear and Nonlinear Finite Element Analysis: a Computational Approach, Birkhauser, 2004. 4. P. Wriggers, Nonlinear Finite Element Methods, Springer, 2008.
ME 683 Computational
Gas Dynamics (3-0-0-6) Review
of PDEs and their classification; Conservation laws; Concepts of
characteristics; Riemann problem for linear equations; Concept of finite
volume methods; Conservation, consistency and stability; Upwind methods;
Godunov scheme; High resolution schemes; TVD and limiting; Euler equations;
Approximate Riemann solvers; Temporal discretisation;
Boundary conditions; Convergence acceleration techniques; Unsteady flows;
Introduction to unstructured grids. Texts/References:
1. R. J. LeVeque, Numerical methods for conservation laws, 2nd Edn., Birkhauser, 1992. 2. R. J. LeVeque, Finite volume methods for hyperbolic problems, Cambridge University Press, 2002. 3. C.B. Laney, Computational Gas Dynamics, Cambridge University Press, 1998. 4. J. Blazek, Computational Fluid Dynamics: Principles and Applications, 2nd Edn., Elsevier, 2005. 5. D. Knight, Elements of Numerical Methods for Compressible Flows, Cambridge University Press, 2006.
6. C.
Hirsch, Numerical Computation of
Internal and External Flows: Fundamentals of Computational Fluid Dynamics,
Vol.1, 2nd Edn.,
Butterworth-Heinemann, 2007. |