2011
DOI: 10.1007/s11434-010-4345-3
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Correlations for the ignition delay times of hydrogen/air mixtures

Abstract: Correlations for the ignition delay times of hydrogen/air mixtures were developed using the method of High Dimensional Model Representation (HDMR). The hydrogen/air ignition delay times for initial conditions over a wide range of temperatures from 800 to 1600 K, pressures from 0.1 to 100 atm, and equivalence ratios from 0.2 to 10 were first calculated utilizing the full chemical mechanism. Correlations were then developed based on these ignition delay times. Two forms of correlations were constructed: the firs… Show more

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Cited by 26 publications
(6 citation statements)
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“…The more preheated mixture requires less energy to reach the ignition temperature, reducing the delay time. This behavior is also evident in [39], and it is the typical behavior found in the literature [40].…”
Section: Results and Analysissupporting
confidence: 80%
“…The more preheated mixture requires less energy to reach the ignition temperature, reducing the delay time. This behavior is also evident in [39], and it is the typical behavior found in the literature [40].…”
Section: Results and Analysissupporting
confidence: 80%
“…最近, Li等 人 [122] 提出了利用随机样本取样(Random Sampling)构 造HDMR的方法(RS-HDMR), 将其成功地应用到大气 化学、分子动力学模拟、生物动力学和燃烧过程模 拟等研究中. Zhao等人 [125,126] 将HDMR方法用于构建 相关函数以预测氢气/空气着火延迟时间和甲烷/空气 的层流火焰速度. HDMR方法作为一种应用于燃烧模 拟中的捕捉输入输出关系的定量评估以及分析的工 具, 具有精确性和高效性, 能够作为详细反应机理的 一种有效的替代手段, 极大地提高计算效率 [127] .…”
Section: 半隐式方法在程序中很容易实现 在燃烧直接unclassified
“…Since accurate numerical simulation of 0-D auto-ignition processes using detailed chemical reaction mechanisms is a quite time-consuming process due to solving many degrees of freedom, it is practically useful to develop an quasi-instant ANN proxy model (or digital-twin) for predicting IDTs over a wide range of temperatures, pressures and other parameters relevant to guide engine designs. Such ANN proxy models have been developed in previous studies for hydrogen [20], biodiesel [21] and n-heptane [22]. In addition, recent studies pay more attention to the ML modeling of IDTs of complex mixture fuels.…”
Section: Introductionmentioning
confidence: 99%