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In situ adaptive tabulation (ISAT) for combustion chemistry in a network of perfectly stirred reactors (PSRs) for the investigation of soot formation and growth

机译:原位自适应制表法(ISAT)用于在完全搅拌反应器(PSR)网络中燃烧化学研究烟灰的形成和生长

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This paper presents an efficient computational implementation of the in situ adaptive tabulation (ISAT) approach (Pope, 1997) for combustion chemistry in a network of perfectly stirred reactors (PSRs) for the investigation of soot formation and growth. This study, for the first time, extends the thermochemical composition vector to contain the soot moments, using the method of moments with interpolative closure (MOMIC) as a soot model with six concentration moments. A series of PSR calculations is carried out using the direct integration (DI) and ISAT approaches. Assessment of the accuracy of ISAT approach is conducted through direct comparisons with DI calculations. Moreover, complimentary cumulative distribution function (CCDF), sensitivity of ISAT calculations with respect to the absolute error tolerance values and speedup are analyzed for two different test cases of ethylene–air using two different chemical kinetic mechanisms. A maximum speedup of 50 × was achieved for an error tolerance of10−4.
机译:本文介绍了一种在烟气形成和生长研究的完全搅拌反应器(PSR)网络中用于燃烧化学的原位自适应制表法(ISAT)方法(Pope,1997)的有效计算实现。这项研究首次使用具有内插闭合矩的方法(MOMIC)作为具有六个浓度矩的烟灰模型,将热化学成分矢量扩展到包含烟灰矩。使用直接积分(DI)和ISAT方法进行了一系列PSR计算。通过与DI计算的直接比较来评估ISAT方法的准确性。此外,对于两种不同的乙烯-空气测试案例,使用两种不同的化学动力学机理,分析了互补累积分布函数(CCDF),ISAT计算相对于绝对误差容限值的灵敏度以及加速情况。对于10−4的容错性,实现了最大50×的加速。

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