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Development of a Computationally Efficient Tabulated Chemistry Solver for Internal Combustion Engine Optimization Using Stochastic Reactor Models

The use of chemical kinetic mechanisms in computer aided engineering tools for internal combustion engine simulations is of high importance for studying and predicting pollutant formation of conventional and alternative fuels. However, usage of complex reaction schemes is accompanied by high computa...

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主要な著者: Andrea Matrisciano, Tim Franken, Laura Catalina Gonzales Mestre, Anders Borg, Fabian Mauss
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2020-12-01
シリーズ:Applied Sciences
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オンライン・アクセス:https://www.mdpi.com/2076-3417/10/24/8979
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