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Xu, G.; García Martínez, A.; Jia, M.; Monsalve-Serrano, J. (2021). Computational optimization of the piston bowl geometry for the different combustión regimes of the dual-mode dual-fuel (DMDF) concept through an improved genetic algorithm. Energy Conversion and Management. 246:1-15. https://doi.org/10.1016/j.enconman.2021.114658
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/183794
Título: | Computational optimization of the piston bowl geometry for the different combustión regimes of the dual-mode dual-fuel (DMDF) concept through an improved genetic algorithm | |
Autor: | Xu, Guangfu Jia, Ming | |
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[EN] Focusing on the dual-mode dual-fuel (DMDF) combustion concept, a combined optimization of the piston bowl geometry with the fuel injection strategy was conducted at various loads. An improved genetic algorithm was ...[+]
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Derechos de uso: | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | |
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Versión del editor: | https://doi.org/10.1016/j.enconman.2021.114658 | |
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This work was partially supported by the National Natural Science Foundation of China (Grant Nos. 51961135105 and 91641117) and Postdoctoral Research Foundation of China (Grant Nos. 2019M661094 and 2020T130075). The ...[+]
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