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Synopsis
This book presents the state of the art of computational models and optimization methods for internal combustion engine development. It achieves this using multi-dimensional computational fluid mechanics (CFD) tools and genetic algorithms
"synopsis" may belong to another edition of this title.
From the Back Cover
Computational Optimization of Internal Combustion Engines presents the state of the art of computational models and optimization methods for internal combustion engine development using multi-dimensional computational fluid dynamics (CFD) tools and genetic algorithms.
Strategies to reduce computational cost and mesh dependency are discussed, as well as regression analysis methods. Several case studies are presented in a section devoted to applications, including assessments of:
- spark-ignition engines,
- dual-fuel engines,
- heavy duty and light duty diesel engines.
Through regression analysis, optimization results are used to explain complex interactions between engine design parameters, such as nozzle design, injection timing, swirl, exhaust gas recirculation, bore size, and piston bowl shape.
Computational Optimization of Internal Combustion Engines demonstrates that the current multi-dimensional CFD tools are mature enough for practical development of internal combustion engines. It is written for researchers and designers in mechanical engineering and the automotive industry.
About the Author
Yu Shi works for the Department of Chemical Engineering, Massachusetts Institute of Technology, USA.
Hai-Wen Ge and Rolf D. Reitz (ASME/SAE Fellow and Wisconsin Distinguished Professor), both work for the Engine Research Center, University of Wisconsin-Madison, USA.
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2016
- ISBN 10 1447169107
- ISBN 13 9781447169109
- BindingPaperback
- LanguageEnglish
- Number of pages331
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Computational Optimization of Internal Combustion Engines
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ISBN 10: 1447169107
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computational Optimization of Internal Combustion Engines presents the state of the art of computational models and optimization methods for internal combustion engine development using multi-dimensional computational fluid dynamics (CFD) tools and genetic algorithms. Strategies to reduce computational cost and mesh dependency are discussed, as well as regression analysis methods. Several case studies are presented in a section devoted to applications, including assessments of:spark-ignition engines,dual-fuel engines,heavy duty and light duty diesel engines.Through regression analysis, optimization results are used to explain complex interactions between engine design parameters, such as nozzle design, injection timing, swirl, exhaust gas recirculation, bore size, and piston bowl shape.Computational Optimization of Internal Combustion Engines demonstrates that the current multi-dimensional CFD tools are mature enough for practical development of internal combustion engines. It is written for researchers and designers in mechanical engineering and the automotive industry. 332 pp. Englisch. Seller Inventory # 9781447169109
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Enables readers to master the latest techniques for IC engine optimization using computersIncludes descriptions of new physical modelsContains new optimization strategiesYu Shi works for the Department of Chemical Engineer. Seller Inventory # 447761620
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Computational Optimization of Internal Combustion Engines
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ISBN 10: 1447169107
ISBN 13: 9781447169109
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Computational Optimization of Internal Combustion Engines presents the state of the art of computational models and optimization methods for internal combustion engine development using multi-dimensional computational fluid dynamics (CFD) tools and genetic algorithms. Strategies to reduce computational cost and mesh dependency are discussed, as well as regression analysis methods. Several case studies are presented in a section devoted to applications, including assessments of:spark-ignition engines,dual-fuel engines,heavy duty and light duty diesel engines.Through regression analysis, optimization results are used to explain complex interactions between engine design parameters, such as nozzle design, injection timing, swirl, exhaust gas recirculation, bore size, and piston bowl shape.Computational Optimization of Internal Combustion Engines demonstrates that the current multi-dimensional CFD tools are mature enough for practical development of internal combustion engines. It is written for researchers and designers in mechanical engineering and the automotive industry. Seller Inventory # 9781447169109
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