Design and Optimization of Thermal Systems

ISBN-10: 0849337534

ISBN-13: 9780849337536

Edition: 2nd 2007 (Revised)

Authors: Yogesh Jaluria

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Description:

Presenting basic concepts and procedures, Design and Optimization of Thermal Systems discusses conceptual design, formulation, modeling, simulation, synthesis, and optimization. This revised edition features new chapters on manufacturability, material selection, and sensitivity. It includes new material on recent search methods, including genetic and gradient methods, with more detailed coverage of safety, security, and environmental aspects. Maintaining its thrust on the basic design process using inputs from modeling and simulation, it focuses on streamlined examples and case studies to demonstrate design methodology and simplify the discussion. It also contains a new appendix on MATLAB.
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Book details

List price: $265.00
Edition: 2nd
Copyright year: 2007
Publisher: CRC Press LLC
Publication date: 12/13/2007
Binding: Hardcover
Pages: 752
Size: 6.25" wide x 9.50" long x 1.75" tall
Weight: 2.464
Language: English

Introduction
Engineering Design
Design Versus Analysis
Synthesis for Design
Selection Versus Design
Design as Part of Engineering Enterprise
Need or Opportunity
Evaluation and Market Analysis
Feasibility and Chances of Success
Engineering Design
Research and Development
Need for Optimization
Fabrication, Testing, and Production
Thermal Systems
Basic Characteristics
Analysis
Types and Examples
Outline and Scope of the Book
Summary
References
Basic Considerations in Design
Formulation of the Design Problem
Requirements and Specifications
Given Quantities
Design Variables
Constraints or Limitations
Additional Considerations
Conceptual Design
Innovative Conceptual Design
Selection from Available Concepts
Modifications in the Design of Existing Systems
Steps in the Design Process
Physical System
Modeling
Simulation
Evaluation: Acceptable Design
Optimal Design
Safety Features, Automation, and Control
Communicating the Design
Patents and Copyrights
Computer-Aided Design
Main Features
Computer-Aided Design of Thermal Systems
Material Selection
Different Materials
Material Properties and Characteristics for Thermal Systems
Selection and Substitution of Materials
Summary
References
Problems
Modeling of Thermal Systems
Introduction
Importance of Modeling in Design
Basic Features of Modeling
Types of Models
Analog Models
Mathematical Models
Physical Models
Numerical Models
Interaction Between Models
Other Classifications
Mathematical Modeling
General Procedure
Final Model and Validation
Physical Modeling and Dimensional Analysis
Dimensional Analysis
Modeling and Similitude
Overall Physical Model
Curve Fitting
Exact Fit
Best Fit
Summary
References
Problems
Numerical Modeling and Simulation
Numerical Modeling
General Features
Development of a Numerical Model
Available Software
Solution Procedures
Linear Algebraic Systems
Nonlinear Algebraic Systems
Ordinary Differential Equations
Partial Differential Equations
Numerical Model for a System
Modeling of Individual Components
Merging of Different Models
Accuracy and Validation
System Simulation
Importance of Simulation
Different Classes
Flow of Information
Methods for Numerical Simulation
Steady Lumped Systems
Dynamic Simulation of Lumped Systems
Distributed Systems
Simulation of Large Systems
Numerical Simulation Versus Real System
Summary
References
Problems
Acceptable Design of a Thermal System: A Synthesis of Different Design Steps
Introduction
Initial Design
Design Strategies
Commonly Used Design Approach
Other Strategies
Iterative Redesign Procedure
Design of Systems from Different Application Areas
Manufacturing Processes
Cooling of Electronic Equipment
Environmental Systems
Heat Transfer Equipment
Fluid Flow Systems
Other Areas
Design of Components Versus Design of Systems
Additional Considerations for Large Practical Systems
Summary
References
Problems
Economic Considerations
Introduction
Calculation of Interest
Simple Interest
Compound Interest
Continuous Compounding
Effective Interest Rate
Worth of Money as a Function of Time
Present Worth
Future Worth
Inflation
Series of Payments
Future Worth of Uniform Series of Amounts
Present Worth of Uniform Series of Amounts
Continuous Compounding in a Series of Amounts
Changing Amount in Series of Payments
Shift in Time
Different Frequencies
Changes in Schedule
Raising Capital
Bonds
Stocks
Taxes
Inclusion of Taxes
Depreciation
Economic Factor in Design
Cost Comparison
Rate of Return
Application to Thermal Systems
Summary
References
Problems
Problem Formulation for Optimization
Introduction
Optimization in Design
Final Optimized Design
Basic Concepts
Objective Function
Constraints
Operating Conditions Versus Hardware
Mathematical Formulation
Optimization Methods
Calculus Methods
Search Methods
Linear and Dynamic Programming
Geometric Programming
Other Methods
Optimization of Thermal Systems
Important Considerations
Different Approaches
Different Types of Thermal Systems
Examples
Consideration of the Second Law of Thermodynamics
Practical Aspects in Optimal Design
Choice of Variables for Optimization
Sensitivity Analysis
Dependence on Objective Function: Trade-Offs
Multi-Objective Optimization
Part of Overall Design Strategy
Change of Concept or Model
Summary
References
Problems
Lagrange Multipliers
Introduction to Calculus Methods
The Lagrange Multiplier Method
Basic Approach
Physical Interpretation
Significance of the Multipliers
Optimization of Unconstrained Problems
Use of Gradients for Optimization
Determination of Minimum or Maximum
Conversion of Constrained to Unconstrained Problem
Optimization of Constrained Problems
Applicability to Thermal Systems
Use of Curve Fitting
Examples
Inequality Constraints
Some Practical Considerations
Computational Approach
Summary
References
Problems
Search Methods
Basic Considerations
Importance of Search Methods
Types of Approaches
Application to Thermal Systems
Single-Variable Problem
Uniform Exhaustive Search
Dichotomous Search
Fibonacci Search
Golden Section and Other Search Methods
Comparison of Different Elimination Methods
Unconstrained Search with Multiple Variables
Lattice Search
Univariate Search
Steepest Ascent/Descent Method
Multivariable Constrained Optimization
Penalty Function Method
Search Along a Constraint
Examples of Thermal Systems
Summary
References
Problems
Geometric, Linear, and Dynamic Programming and Other Methods for Optimization
Geometric Programming
Applicability
Unconstrained Optimization
Mathematical Proof
Constrained Optimization
Nonzero Degree of Difficulty
Linear Programming
Dynamic Programming
Other Methods
Summary
References
Problems
Knowledge-Based Design and Additional Considerations
Knowledge-Based Systems
Introduction
Basic Components
Expert Knowledge
Design Methodology
Application to Thermal Systems
Additional Constraints
Professional Ethics
Sources of Information
An Overview of Design of Thermal Systmes
Summary
References
Problems
Design Projects
Computer Programs
Material Properties
Interest Tables
Heat Transfer Correlations
Index
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