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Prediction of Sooting Index of Fuel Compounds for Spark-Ignition Engine Applications Based on a Machine Learning Approach

CHEN Zhuo VOM LEHN Florian PITSCH Heinz CAI Liming

热科学学报：英文版2023，Vol.32Issue(2)：P.521-530,10.

热科学学报：英文版2023，Vol.32Issue(2)：P.521-530,10.DOI:10.1007/s11630-023-1765-3

Prediction of Sooting Index of Fuel Compounds for Spark-Ignition Engine Applications Based on a Machine Learning Approach

CHEN Zhuo ¹VOM LEHN Florian ²PITSCH Heinz ²CAI Liming¹

作者信息

1. School of Automotive Studies,Tongji University,Shanghai 201804,China
2. Institute for Combustion Technology,RWTH Aachen University,Aachen 52056,German
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摘要

关键词

yield sooting index/gasoline replacements and additives/quantitative structure-property relationship/artificial neural network

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CHEN Zhuo,VOM LEHN Florian,PITSCH Heinz,CAI Liming..Prediction of Sooting Index of Fuel Compounds for Spark-Ignition Engine Applications Based on a Machine Learning Approach[J].热科学学报：英文版,2023,32(2):P.521-530,10.

基金项目

supported by the Fundamental Research Funds for the Central Universities。（）

热科学学报：英文版

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ISSN：1003-2169

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