Optimization in Rubber Industries

GTU Study
KHUDKIBOOK
OPTIMIZATION IN RUBBER ME02088021
FREE PDF ME02088021
Code: ME02088021 Credits: 4 Semester 2 RT

Optimization in Rubber Industries

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Optimization in Rubber Industries Syllabus — Unit-wise Content

The official GTU curriculum for Optimization in Rubber Industries (subject code ME02088021) as prescribed for RT · Semester 2 divides the course into 6 units, covering 49 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 (ME02088021)

Unit 1 Introduction to Optimization

7 lecture hours

  • Basic concept of optimization
  • formulation of optimization problems
  • problem dressing
  • feasible region
  • Classification of Optimization Problems: single variable- multivariable problems
  • optimization without constraints - with constraints
  • Maximization and minimization problems
  • convex and concave functions
  • single objective- multiobjective optimization

Unit 2 Analytical Optimization Techniques

8 lecture hours

  • Stationary points
  • Optimization of unconstrained Functions One- dimensional Search
  • direct substitution
  • constrained variation
  • penalty function
  • Lagrangian Multiplier
  • Kuhn-Tucker theorem
  • Simplex Method of Linear Programming
  • Duals in optimization
  • Quadratic programming
  • Geometric Programming

Unit 3 Numerical Optimization Techniques

8 lecture hours

  • General principles of numerical search
  • region elimination techniques
  • direction of search
  • final stage in search
  • direct search
  • pattern search
  • acceleration in direct search
  • gradient methods
  • the complex method of Box

Unit 4 Application of Optimization In Rubber Industries

7 lecture hours

  • Design of product mixes
  • optimization in mould design
  • product shape-size design
  • screw design
  • optimization in Mixing

Unit 5 Optimal design and scheduling

7 lecture hours

  • Single product batch plants
  • Multiple product batch plants
  • Parallel units and intermediate storage
  • Sizing in batch plants
  • flow shop and jobshop plants
  • constraints and formulation of design models for optimization
  • formulations for discrete sizes
  • Program Name: Master of Engineering Level: PG Branch: Rubber Technology Subject Code: ME02088021 Subject Name: Optimization in Rubber Industries

Unit 6 Advanced Optimization Techniques

8 lecture hours

  • Genetic Algorithm
  • Mematic Algorithm
  • Simulated Annealing
  • Differential Evolution
  • Ant Colony Optimization
  • Particle Swam Optimization and recent developments
  • applications for different rubber products

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