首页|Tianjin University Reports Findings in Machine Learning (Comprehending Flame Dev elopment and Misfire At Advanced Engine Conditions: Detailed Experimental Charac terizations and Machine Learning-assisted Kinetic Analyses)
Tianjin University Reports Findings in Machine Learning (Comprehending Flame Dev elopment and Misfire At Advanced Engine Conditions: Detailed Experimental Charac terizations and Machine Learning-assisted Kinetic Analyses)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news reporting from Tianjin, People's Repu blic of China, by NewsRx journalists, research stated, "Through comprehensive ex perimental and modeling efforts, this work unravels the underlying mechanisms go verning flame development and misfire at advanced engine conditions that are rep resentative of low-load and lean blow-out operations. Toward this, preliminary h eat release, autoignition, and flame developing patterns are characterized, via a case study of n-heptane, at ultra-lean conditions in a well-controlled optical engine under various combustion modes including homogeneous charge compression ignition (HCCI), partially premixed combustion (PPC), and reactivity-controlled compression ignition (RCCI)." Funders for this research include National Natural Science Foundation of China ( NSFC), Hong Kong Special Administrative Region of China.
TianjinPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningTianjin University
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