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Titlebook: Computational Optimization of Internal Combustion Engines; Yu Shi,Hai-Wen Ge,Rolf D. Reitz Book 2011 Springer-Verlag London Limited 2011 C

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書目名稱Computational Optimization of Internal Combustion Engines
編輯Yu Shi,Hai-Wen Ge,Rolf D. Reitz
視頻videohttp://file.papertrans.cn/233/232881/232881.mp4
概述Enables readers to master the latest techniques for IC engine optimization using computers.Includes descriptions of new physical models.Contains new optimization strategies
圖書封面Titlebook: Computational Optimization of Internal Combustion Engines;  Yu Shi,Hai-Wen Ge,Rolf D. Reitz Book 2011 Springer-Verlag London Limited 2011 C
描述.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..
出版日期Book 2011
關(guān)鍵詞Computational Models; Engine Design; Genetic Algorithms; Internal Combustion Engine; Multi-dimensional C
版次1
doihttps://doi.org/10.1007/978-0-85729-619-1
isbn_softcover978-1-4471-6910-9
isbn_ebook978-0-85729-619-1
copyrightSpringer-Verlag London Limited 2011
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Acceleration of Multi-Dimensional Engine Simulation with Detailed Chemistry,d chemistry can lead to significantly increased computational costs. This chapter summarizes several different strategies in order to reduce computational costs when detailed chemistry is solved in the simulations.
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ains new optimization strategies.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 algorithm
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Simon W. Kolbe,Christel Baatz-Kolbech the simple combustion models fail. The third part discusses strategies for simultaneous optimization of multiple operating conditions. The fourth part presents a methodology that combines scaling laws and computational optimization for engine development.
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