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Findings on Fuel Research Reported by Investigators at Zhejiang University (A Priori Modeling of No Formation With Principal Component Analysis and the Convolutional Neural Network In the Context of Large Eddy Simulation)

机译:发现燃料的研究报道调查人员在浙江大学(先天的建模与主成分的形成分析和卷积神经网络大涡模拟)的背景下

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By a News Reporter-Staff News Editor at Network Daily News – Data detailed on Fuel Research have been presented. According to news reporting originating in Hangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Large eddy simulation (LES) plays a significant role in turbulent flame modeling. However, accurate prediction of nitrogen oxide (NOx) formation in turbulent combustion is challenging in LES as the characteristic timescale of the NO reaction is much larger than that of fuel oxidation.”
机译:由一个新闻记者在网络新闻编辑每日新闻-数据详细的燃料研究被提出。来自杭州,人民共和国NewsRx记者,中国研究说,“大涡模拟(LES)扮演了一个重要的在湍流火焰建模中的作用。准确预测氮氧化物(NOx)形成湍流燃烧是具有挑战性的在莱斯的特征时间尺度反应比这大得多的燃料氧化。”

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