Design and Optimization of Thermal Systems, Third Edition: with MATLAB Applications

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Yogesh Jaluria (Rutgers University, Piscataway, New Jersey, USA.)

Design and Optimization of Thermal Systems, Third Edition

with MATLAB Applications

Yogesh Jaluria (Rutgers University, Piscataway, New Jersey, USA.)

$227

Hardback

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Productivity Press
17 September 2019

Applied mathematics; Fluid mechanics; Mechanical engineering; Engineering thermodynamics

Series: Mechanical Engineering

Design and Optimization of Thermal Systems, Third Edition: with MATLAB (R) Applications provides systematic and efficient approaches to the design of thermal systems, which are of interest in a wide range of applications. It presents basic concepts and procedures for conceptual design, problem formulation, modeling, simulation, design evaluation, achieving feasible design, and optimization. Emphasizing modeling and simulation, with experimentation for physical insight and model validation, the third edition covers the areas of material selection, manufacturability, economic aspects, sensitivity, genetic and gradient search methods, knowledge-based design methodology, uncertainty, and other aspects that arise in practical situations. This edition features many new and revised examples and problems from diverse application areas and more extensive coverage of analysis and simulation with MATLAB (R).

By: Yogesh Jaluria (Rutgers University Piscataway New Jersey USA.)
Imprint: Productivity Press
Country of Publication: United States
Edition: 3rd New edition
Dimensions: Height: 254mm, Width: 178mm,
Weight: 1.256kg
ISBN: 9781498778237
ISBN 10: 1498778232
Series: Mechanical Engineering
Pages: 592
Publication Date: 17 September 2019
Audience: College/higher education , A / AS level
Format: Hardback
Publisher's Status: Active

1. Introduction 2. Basic Considerations in Design 3. Modeling of Thermal Systems 4. Numerical Modeling and Simulation 5. Acceptable Design of a Thermal System: A Synthesis of Different Design Steps 6. Economic Considerations 7. Problem Formulation for Optimization 8. Lagrange Multipliers 9. Search Methods 10. Geometric, Linear, and Dynamic Programming and Other Methods for Optimization 11. Knowledge-Based Design and Additional Considerations

Yogesh Jaluria, MS, PhD, is currently Board of Governors Professor and Distinguished Professor at Rutgers, the State University of New Jersey, New Brunswick. Jaluria received the 2003 Robert Henry Thurston Lecture Award from the American Society of Mechanical Engineers (ASME), and the 2002 Max Jakob Memorial Award for eminent achievement in the field of heat transfer from ASME and the American Institute of Chemical Engineers (AIChE).