JNTUK B.Tech Optimization of Chemical Processes gives you detail information of Optimization of Chemical Processes R13 syllabus It will be help full to understand you complete curriculum of the year.
Learning Objectives
- Avenues for optimization in chemical engineering systems. Importance of modeling and parametric analysis of chemical engineering processes.
- Basic mathematical concepts involved in optimization techniques.
- Theoretical knowledge of Single and Multivariable unconstrained optimization.
- Relevance of linear programming for chemical engineering systems. Solution techniques.
- Applications of optimization in chemical engineering processes.
UNIT-I: Nature and organization of Optimization problems: Examples of applications of optimization, The essential features of optimization problems, Formulation of objective functions, General procedure for solving optimization problems, obstacles to optimization. Classification of models, model building procedures, fitting functions to empirical data, the method of least squares, factorial experimental designs, fitting a model to data subject to constraints.
UNIT-II: Basic concepts of Optimization: Continuity of functions, uni-modal versus Multi-model functions. Convex and Concave functions, Convex region, Necessary and sufficient conditions for an extremum of an unconstrained function, interpretation of the objective function in terms of its quadratic approximation.
UNIT-III: Optimization of Unconstrained functions: One-dimensional search: Numerical methods for optimizing a function of one variable, scanning and bracketing procedures, Newton’s, Quasi- Newton’s and Secant methods of uni-dimensional search, region elimination methods, Polynomial approximation methods.
UNIT-IV: Unconstrained multivariable Optimization: Direct methods, random search, grid search, uni- variate search, simplex method, conjugate search directions, Powell’s method, indirect method first order, gradient method, conjugate gradient method, second order gradient, Newton method, relation between conjugate gradient methods and Quasi-Newton method.
UNIT-V: Linear programming and applications: Basic concepts in linear programming, Degenerate LP’s – graphical solution, natural occurrence of linear constraints, the simplex method of solving linear programming problems, standard LP form, obtaining a first feasible solution, the revised simplex method, sensitivity analysis, duality in linear programming, the Karmarkar algorithm, LP applications.
UNIT-VI: Optimization of Unit operations-1: Recovery of waste heat, shell & tube heat exchangers, evaporator design, liquid-liquid extraction process, optimal design of staged distillation column. Optimal pipe diameter, optimal residence time for maximum yield in an ideal isothermal batch reactor, chemostat, optimization of thermal cracker using linear programming.
Outcomes
- A student proficient in this course shall be able to do the following tasks:
- Ability to formulate a chemical engineering process problem into an optimization problem.
- Ability to formulate a non-linear regression problem as an optimization problem
- Working knowledge of the basic concepts involved in optimization techniques.
- Working knowledge of various optimization techniques such as Newton’s method, Quasi-Newton’s method, Secant method, conjugate search methods, Powell method, simplex method etc.,
- Ability to solve class room linear and non-linear programming problems using a calculator.
- Apply Optimization techniques for the solution of Chemical and Refinery engineering processes.
Text Books
- Optimization of Chemical Processes, T. F. Edgar & Himmelblau D, Mc-Graw. Hill, 2001.
- Optimization for Engineering Design: Algorithms and Examples, Kalyanmoy Deb, PHI- 2009.
Reference Books
- Engineering Optimization: Theory and Practice, Singaresu S. Rao, 4th Edition, John Wiley & Sons, 2009.
- Optimization Concepts and Applications in Engineering, Ashok Belegundu, Tirupathi R. Chandrupatla, Cambridge University Press, 2011.
- Practical Optimization: Algorithms and Engineering Applications, Andreas Antoniou, Wu-Shing Lu, Springer, 2007.
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