CH3024 Optimization of Chemical Processes Syllabus:
CH3024 Optimization of Chemical Processes Syllabus – Anna University Regulation 2021
UNIT I PROBLEM FORMULATION & CLASSIFCATION
Introduction; formulation of objective functions; fitting models to data; classification of functions; necessary and sufficient conditions for optimum; unimodal, multimodal functions; analytical methods
UNIT II LINEAR PROGRAMMING
Review on basic concepts of LP formulations; Simplex methods; Big-M method, two phase method and Duality in linear programming.
UNIT III NON-LINEAR PROGRAMMING
The Lagrange multiplier method, Integer, quadratic, geometric and dynamic programming.
UNIT IV NUMERICAL METHODS
Unimodal functions; Newton, quasi Newton, secant methods; region elimination methods, polynomial approximation; quadratic and cubic interpolation techniques for optimum. Multimodal functions; direct methods; Powell’s technique; indirect methods; gradient and conjugate gradient methods; secant method
UNIT V APPLICATIONS
Heat transfer and energy conservation; separation processes; fluid flow systems; reactor design and operation; large scale systems.
TOTAL: 45 PERIODS
OUTCOMES:
On completion of the course, the students will be able to
CO1: be familiar on the basic problem formulation and optimization.
CO2:Understand mathematical characteristics of Linear programming
CO3:Learn computational solution techniques for nonlinear unconstrained optimization.
CO4:Understand various techniques used in constrained optimization
CO5:Apply the optimal and dynamic optimization.
TEXT BOOKS
1. Edgar T.F., Himmelblau D.M., Lasdon,L.S., Optimization of Chemical Processes, Second Edition, McGraw-Hill, New York, 2001.
2. Rao, S. S., Engineering Optimization: Theory and Practice, Fifth Edition, Wiley, New York, 2019.
REFERENCE BOOKS
1. Reklaitis G.V., Ravindran A., Ragsdell, K.M., Engineering Optimization, Wiley, New York, 1980.