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Sinopsis
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
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.
De la contraportada
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Computational Optimization of Internal Combustion Engines
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Springer London Ltd, 2011
ISBN 10: 0857296183
ISBN 13: 9780857296184
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Hardback. Condición: Good. 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. Nº de ref. del artículo: 00106335760
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Hardcover. Condición: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less. Nº de ref. del artículo: G0857296183I2N00
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Computational Optimization of Internal Combustion Engines
Publicado por
Springer London Ltd, 2011
ISBN 10: 0857296183
ISBN 13: 9780857296184
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Librería: World of Books Inc, Montgomery, IL, Estados Unidos de America
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Hardback. Condición: Good. 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. Nº de ref. del artículo: CIN0857296183G
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Computational Optimization of Internal Combustion Engines
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Computational Optimization of Internal Combustion Engines [Hardcover] [Jun 24, 2011] Shi, Yu; Ge, Hai-Wen and Reitz, Rolf D.
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Shi,Y.:Computational Optimization (eng)
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Condición: new. Questo è un articolo print on demand. Nº de ref. del artículo: 91dbd3f6b6cd8ab8a71bffb28615bb59
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Computational Optimization of Internal Combustion Engines
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SPRINGER NATURE Jun 2011, 2011
ISBN 10: 0857296183
ISBN 13: 9780857296184
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Buch. Condición: 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. Nº de ref. del artículo: 9780857296184
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Computational Optimization of Internal Combustion Engines
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Gebunden. Condición: 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. Nº de ref. del artículo: 5979366
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Computational Optimization of Internal Combustion Engines
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Computational Optimization of Internal Combustion Engines
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Buch. Condición: 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. Nº de ref. del artículo: 9780857296184
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