Design and Optimization of Thermal Systems

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DESIGN AND OPTIMIZATION ME02000531
FREE PDF ME02000531
Code: ME02000531 Credits: 4 Semester 2 M(E

Design and Optimization of Thermal Systems

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

Design and Optimization of Thermal Systems Syllabus — Unit-wise Content

The official GTU curriculum for Design and Optimization of Thermal Systems (subject code ME02000531) as prescribed for M(E · Semester 2 divides the course into 4 units, covering 39 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 (ME02000531)

Unit 1 Introduction

8 lecture hours

  • Engineering design
  • design as part of engineering enterprise
  • design versus analysis
  • need for optimization
  • basic characteristics of thermal system
  • formulation of the design problem
  • steps in the design process
  • computer aided design

Unit 2 Modeling and Simulation of Thermal Systems

13 lecture hours

  • Basic considerations in design
  • importance of modeling in design
  • types of models
  • mathematical modeling
  • physical modeling and dimensional analysis
  • Program Name: Engineering Level: PG Subject Code : ME02000531 Course / Subject Name : Design and Optimization of Thermal Systems solution procedure
  • merging of different models
  • accuracy and validation
  • system simulation
  • curve fitting
  • methods of numerical simulation
  • numerical simulation versus real systems

Unit 3 Optimization

17 lecture hours

  • Formulation of optimization problems
  • calculus techniques: Lagrange multiplier method
  • Search methods
  • Concept of interval of uncertainty
  • reduction ratio
  • reduction ratios of simple search techniques like exhaustive search
  • dichotomous search
  • Fibonacci search and Golden section search
  • method of steepest ascent/steepest descent
  • conjugate gradient method
  • new generation optimization techniques: Genetic algorithm and simulated annealing
  • introduction to Bayesian framework for optimization

Unit 4 Economic Considerations

7 lecture hours

  • Calculation of interest
  • worth of money as a function of time
  • series of payments
  • raising capital
  • economic factor in design
  • application to thermal systems
  • carbon credit calculation

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