Titre : |
Design and optimization of thermal systems : with MATLAB applications |
Type de document : |
texte imprimé |
Auteurs : |
Yogesh Jaluria, Auteur |
Mention d'édition : |
3rd edition |
Editeur : |
Boca Raton : CRC Press, Taylor and Francis |
Année de publication : |
2020 |
Collection : |
Mechanical engineering |
Importance : |
XXI, 592 p. |
Présentation : |
ill. |
Format : |
26 cm |
ISBN/ISSN/EAN : |
978-1-4987-7823-7 |
Note générale : |
Références bibliographiques. - Index |
Langues : |
Anglais (eng) |
Mots-clés : |
Heat engineering
Heat engineering Instruments
Engineering design
Système thermique
Thermique Instruments
Conception technique |
Index. décimale : |
621.8.036 Energie thermique. Forces de l'expansion et de la contraction thermiques. Génération de pression par la chaleur |
Résumé : |
Design and Optimization of Thermal Systems, Third Edition: with MATLAB® 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®. |
Note de contenu : |
Summary :
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 |
Design and optimization of thermal systems : with MATLAB applications [texte imprimé] / Yogesh Jaluria, Auteur . - 3rd edition . - Boca Raton : CRC Press, Taylor and Francis, 2020 . - XXI, 592 p. : ill. ; 26 cm. - ( Mechanical engineering) . ISBN : 978-1-4987-7823-7 Références bibliographiques. - Index Langues : Anglais ( eng)
Mots-clés : |
Heat engineering
Heat engineering Instruments
Engineering design
Système thermique
Thermique Instruments
Conception technique |
Index. décimale : |
621.8.036 Energie thermique. Forces de l'expansion et de la contraction thermiques. Génération de pression par la chaleur |
Résumé : |
Design and Optimization of Thermal Systems, Third Edition: with MATLAB® 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®. |
Note de contenu : |
Summary :
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 |
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