Advanced Optimization Techniques in Chemical Engineering
Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.
English Book & Chapters
English Book Coming Soon
We are working hard to add this material. Stay tuned for updates!
Follow on Instagram for UpdatesGTU Previous Year Papers
Papers Coming Soon
We are working hard to add this material. Stay tuned for updates!
Follow on Instagram for UpdatesAdvanced Optimization Techniques in Chemical Engineering Syllabus — Unit-wise Content
The official GTU curriculum for Advanced Optimization Techniques in Chemical Engineering (subject code ME02030081) as prescribed for CE · Semester 2 divides the course into 8 units, covering 48 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (ME02030081)Unit 1 The Nature and Organization of Optimization Problems
- Scope and Hierarchy of Optimization
- Examples of applications of Optimization
- The Essential Features of Optimization Problems
- General Procedure for Solving Optimization Problems
- Obstacles to Optimization
Unit 2 Developing Models for Optimization
- Classification of Models
- How to Build a Model
- Selecting Functions to Fit Empirical Data
- Factorial Experimental Designs
- Degrees of Freedom
- Examples of Inequality and Equality Constrains in Models
- Formulation of the Objective Function Economic Objective Functions
- The Time Value of Money in Objective Functions
- Measures of Profitability
Unit 3 Basic Concepts of Optimization
- Continuity of Function
- NLP Problem Statement
- Convexity and Its Applications
- Interpretation of the Objective Function in Terms of its Quadratic Approximation
- Necessary and Sufficient Conditions for an Extremum of an Unconstrained Function
Unit 4 Optimization of Unconstrained Functions
- One-Dimensional Search Numerical Methods for Optimizing a Function of One Variable
- Scanning and Bracketing Procedures
- Newton and Quasi- Newton Methods of Uni-dimensional Search
- Polynomial Approximation Methods
- How One-Dimensional Search is Applied in a Multidimensional Problem
- Evaluation of Uni-dimensional Search method
Unit 5 Unconstrained Multivariable Optimization
- Methods Using Function Values Only
- Methods That Use First Derivatives
- Newton’s Method
- Quasi-Newton Methods
Unit 6 Linear Programming (LP) and Applications
- Geometry of Linear Programs
- Basic Linear Programming Definitions and Results
- Simplex Algorithm
- Barrier Methods
- Sensitivity Analysis
- Linear Mixed Integer Programs
- LP Software
- A Transportation Problem Using the EXCEL Solver Spreadsheet Formulation
- Network Flow and Assignment Problems
Unit 7 Non linear and mixed integer programming
- Examples of Optimization in Chemical Processes like optimizing recovery of waste heat
- Optimal Shell and Tube Heat Exchanger Design
- Optimal Design and Operation of binary Distillation Column
- Optimal pipe diameter etc
- Program Name: Master of Engineering Level: PG Branch: Chemical Engineering Subject Code: ME02030081 Subject Name: Advanced Optimization Techniques in Chemical Engineering
Unit 8 Chemical reactor Design and operation
- Optimization of a Thermal Cracker Via Linear Programming
- Optimal Design of an Ammonia Reactor Solution of an Alkylation Process by Sequential Quadratic Programming
- Predicting Protein Folding
- Optimization of Low- Pressure Chemical Vapor Deposition
- Reactor for the Deposition of Thin Films Reaction Synthesis
Study on Android App:
