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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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21#
發(fā)表于 2025-3-25 06:32:59 | 只看該作者
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發(fā)表于 2025-3-25 09:24:23 | 只看該作者
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發(fā)表于 2025-3-25 12:43:17 | 只看該作者
Forschen und Beraten sind zwei Paar Schuhed 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.
24#
發(fā)表于 2025-3-25 18:32:57 | 只看該作者
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發(fā)表于 2025-3-25 22:19:27 | 只看該作者
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發(fā)表于 2025-3-26 02:47:48 | 只看該作者
27#
發(fā)表于 2025-3-26 05:35:00 | 只看該作者
Forschen und Beraten sind zwei Paar Schuhed 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.
28#
發(fā)表于 2025-3-26 09:03:04 | 只看該作者
https://doi.org/10.1007/978-3-658-32692-0review of optimization methods in ., it was determined that multi-objective genetic algorithms (MOGA) are an appropriate optimization method. This chapter assesses the performance of different MOGAs for engine optimization problems. The assessment was conducted using three popular MOGAs [μ-GA (Coell
29#
發(fā)表于 2025-3-26 12:38:37 | 只看該作者
30#
發(fā)表于 2025-3-26 20:43:53 | 只看該作者
Simon W. Kolbe,Christel Baatz-Kolbeimple combustion models to benefit efficiency. The ones in the second part use detailed chemistry for better accuracy, especially for the cases in which the simple combustion models fail. The third part discusses strategies for simultaneous optimization of multiple operating conditions. The fourth p
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