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AKTU Optimization Techniques (BCH052) Syllabus PDF – B.Tech 3rd Year
Optimization Techniques BCH052
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Official AKTU syllabus of Optimization Techniques (BCH052) for B.Tech 3rd Year – 3 credits, L-T-P 3-0-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.
Syllabus — Optimization Techniques
Download PDFBCH052 · 3 credits · L-T-P 3-0-0
CO-PO Mapping (1 to 3 scale) CO/PO PO- PO- PO- PO- PO- PO- PO- PO- PO- PO- PO- PO- 1 2 3 4 5 6 7 8 9 10 11 12 CO-1 3 3 2 2 2 2 2 - - - - 3 CO-2 3 3 2 1 3 1 2 2 - - - 2 CO-3 2 2 2 3 2 2 2 2 - - - 3 CO-4 3 3 2 2 1 2 1 1 - - - 2 CO-5 2 2 3 2 1 2 2 2 - - - 3 CO-6 3 3 3 3 3 2 1 1 - - - 2 Avg 2.7 2.7 2.3 2.2 2.0 1.8 1.7 1.6 - - - 2.5
| CO/PO | PO- 1 | PO- 2 | PO- 3 | PO- 4 | PO- 5 PO- 6 PO- 7 PO- 8 PO- 9 PO- 10 PO- 11 PO- 12 |
| CO-1 | 3 | 2 | - | 3 | |
| CO-2 | 3 | 2 | 1 | 3 | 1 2 - 2 |
| CO-3 | 2 | 3 | 2 | - | 3 |
| CO-4 | 3 | 2 | 1 | 2 | 1 - 2 |
| CO-5 | 2 | 3 | 2 | 1 | 2 - 3 |
| CO-6 | 3 | 2 | 1 | - | 2 |
| Avg | 2.7 | 2.3 | 2.2 | 2.0 | 1.8 1.7 1.6 - 2.5 |
Reference Books
| S. NO. | Name of Authors/Books/Publishers | Year of Publication/ Reprint |
| 1. | T.F. Edgar and D.M. Himmelblau “Optimization of Chemical Process”, McGraw Hill. | 2001 |
| 2. | K. Urbanier and C. Mc Dermott “Optimal Design of Process Equipment”, John Wiley. | 2020 |
| 3. | Suman Dutta “Optimization Technique in Chemical Process”, Cambridge University Press. | 2020 |
| 4. | Chander Mohan and Kusum Deep “Optimization Technique”, New Age Science. | 2019 |
| 5. | S.S. Rao “Engineering Optimization”, Wiley. | 2019 |
| 6. | A. Ravindran, K M Ragsdell, and G V Reklaitis “Engineering Optimization: Methods And Applications”, Jhon Wiley. | 2019 |
COURSE DETAILS:
| UNITS | CONTENTS | LECTURE HOURS |
|---|---|---|
| I | Introduction: Process optimization, Formulation of various process optimization problems and their classification, Basic concepts of optimization-convex and concave functions, Necessary and sufficient conditions for stationary points. | 8 |
| II | Optimization of One-Dimensional Functions: Unconstrained multivariable optimization direct search methods, Bracketing methods: Exhaustive search, Bounding phase, Region elimination methods- Interval halving, Fibonacci search, Golden section search, Point Estimation, Successive quadratic estimation methods. | 8 |
| III | Indirect First Order and Second Order Methods: Gradient-based methods-Newton Raphson, Bisection, Secant, Cubic spline, Root-finding using optimization Techniques. | 8 |
| IV | Multivariable Optimization Algorithms: Optimality criteria, Unidirectional search, Direct search Methods- Evolutionary optimization, Simplex search, Powell’s conjugate direction, Gradient-based methods- Cauchy’s (steepest descent) method, Newton’s method. | 8 |
| V | Constrained Optimization Algorithms: Kuhn-Tucker conditions, Transformation methods, Penalty function method, Method of multipliers, Sensitivity analysis, Direct search for constraint Minimization-Variable elimination method Advanced techniques for optimization 40 | 8 |
B.TECH. III YEAR V SEMESTER CHEMICAL ENGINEERING
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