Syllabus

JNTUK B. Tech Process Modelling & Simulation for R13 Batch.

JNTUK B.Tech Process Modelling & Simulation gives you detail information of Process Modelling & Simulation R13 syllabus It will be help full to understand you complete curriculum of the year.

Learning Objectives
Existing and ongoing trends in chemical engineering require systematic analysis of complex chemical processes through the medium of process modeling and simulation. The following objectives need to be achieved through the course on process modeling and simulation:

  • Basic philosophy of process model development and simulation for chemical engineering processes.
  • Theory of numerical methods applicable for the solution of linear and non-linear system of equations.
  • Theory of numerical differentiation, integration and regression.
  • Modeling of chemical processes using partial differential equations.

UNIT-I: Mathematical models for chemical engineering systems-Fundamentals-Introduction to fundamental laws.

UNIT-II : Examples of mathematical models of chemical engineering systems- Constant volume CSTRS-
Two heated tanks-Gas phase pressurized CSTR-Non isothermal CSTR. Examples of single component vaporizer- Batch reactor-Reactor with mass transfer-Ideal binary distillation column- Batch distillation with holdup.

UNIT-III: Numerical methods for simulation-I: Iterative methods-Bisection, false position, Newton– Raphson, successive approximation methods- Comparison of iterative methods-Solution of linear simultaneous algebraic equations- Computation of eigen values and eigen vectors- Gauss elimination method- Gauss-Jordan and Gauss-Seidel’s method.

UNIT-IV: Numerical methods for simulation-II: Numerical integration by trapezoidal and Simpson’s rules-Numerical solution of differential equations-Euler method, Runge-Kutta fourth order method-Milne predictor corrector method. Interpolation, Lagrange interpolation-Forward difference-Backward difference and central difference interpolation methods-Least square approximation of functions-Linear regression- Polynomial regression.

UNIT-V: Computer simulation examples: Gravity flow tank- Three CSTRs in series-Binary distillation column- Batch reactor-Simulation of Non-isothermal CSTR-VLE dew point, bubble point calculations – Countercurrent heat exchanger.

UNIT-VI: Application of solution of partial differential equations in simulation: Techniques for convective problems-Unsteady state steam heat exchanger-Techniques for diffusive problems- Unsteady state heat conduction in a rod.

Outcomes: After the course, the students will have

  • Ability to formulate simple and complex mathematical models to simulate chemical engineering processes such as reactors and distillation columns.
  • Working knowledge of numerical methods for simulation to solve system of linear and non-linear system of equations.
  • Fundamental and working knowledge of general numerical integration and differentiation approaches.
  • Working knowledge of linear and non-linear regression.
  • Coding of various process models in competent software platforms such as MATLAB etc.,
  • Theoretical and Working knowledge of chemical engineering process models with partial differential equations.

Text Books

  • Process Modeling, Simulation and Control for Chemical Engineers by W. L. Luyben, McGraw Hill, 2nd Edition, 1990.
  • Numerical Methods for Engineers, S.K. Gupta, New Age International, 1995. Computational Methods for Process Simulation, W.F.Ramirez, 2nd Edition, Butterworth- Heinmann, 1997

Reference Books

  • Modeling and Simulation in Chemical Engineering, Roger G.E. Franks, Wiley- Interscience, 1972.
  • Chemical Engineering: Modeling, Simulation and Similitude, T.G. Dobre, J. G. Sanchez Marcano, Wiley-VCH., 2007.
  • Applied Mathematics and Modeling for Chemical Engineers, R. G. Rice, D. D. Do, John Wiley & Sons, 1995.
  • Chemical Process Modeling and Computer Simulation, Jana Amiya K. 2nd Edition, PHI learning, 2011.
  • Numerical Simulation of Fluid Flow and Heat, Mass Transfer process, N. C. Markatos, D. G. Tatchell, M. Cross; Springer, 1986.
  • Process Simulation, W. Fred Ramirez, Lexington Books, 1977.

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