M.Tech I Year I Semester (R19)
After the completion of this course, the student will be able to
Introduction to Modelling: Introduction to modeling, a systematic approach to model building, classification of models. Conservation principles, thermodynamic principles of process systems.
Steady State and Dynamic Models of Process Systems-I: Development of steady state and dynamic lumped and distributed parameter models based on first principles. Analysis of ill-conditioned systems.
Steady State and Dynamic Models of Process Systems-II: Development of grey box models. Empirical model building. Statistical model calibration and validation. Population balance models. Examples.
Solution Strategies for Lumped Parameter Models: Solution strategies for lumped parameter models. Stiff differential equations. Solution methods for initial value and boundary value problems. Euler’s method. R-K method, shooting method, finite difference methods. Solving the problems using relevant softwares.
Solution Strategies for Distributed Parameter Models: Solution strategies for distributed parameter models. Solving parabolic, elliptic, and hyperbolic partial differential equations. Finite element and finite volume methods.
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