Computational Optimization of Internal Combustion Engines
Language: English
Published by Springer, 2011
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 198.91
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Add to basketItem description from seller
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 # 9780857296184
- Title
- Computational Optimization of Internal Combustion Engines
- Author
- Hai-Wen Ge
- Publisher
- Springer
- Publication year
- 2011
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 0857296183
- ISBN 13
- 9780857296184
- Item weight
- 660 grams
- Dimensions
- 241x160x22 mm
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.
"Synopsis" may belong to another edition of this title.
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 the title" may belong to another edition of this title.
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