摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑-每日新闻-关于机器学习的最新研究结果已经发表。根据NewsRx记者在中国人民日报天津的新闻报道，研究表明：“通过全面的实验和建模工作，本工作揭示了代表低负荷和贫燃操作的先进发动机条件下春燃和缺火的根本机理。为此，通过正庚烷的案例研究，初步描述了氢氧化物释放、自燃和火焰发展模式。”在控制良好的光学发动机中在各种燃烧模式下的超贫条件下，包括均质充量压缩点火(HCCI)、部分预混燃烧(PPC)和反应性控制压缩点火(RCCI)。本研究的资助者包括中国国家自然科学基金(NSFC)，中国香港特别行政区。
Abstract
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.
NETL
NSTL