Identification of combustion mode under MILD conditions using Chemical Explosive Mode Analysis

Identification of combustion mode under MILD conditions using Chemical Explosive Mode Analysis
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使用化学爆炸模式分析识别 MILD 条件下的燃烧模式

DOI:
10.1016/j.proci.2020.06.293
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发表时间:
2021
影响因子:
3.4
通讯作者:
Doan N
Doan N
中科院分区:
工程技术1区
文献类型:
--
作者:
Doan N

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通过对中等或强烈低氧稀释(MILD)燃烧的直接数值模拟(DNS)数据进行分析,确定了自燃和火焰模式的贡献。这是使用一个扩展的化学爆炸模式分析(CEMA),其中考虑到扩散效应,使其能够区分爆燃和自燃。该分析表明,在预混MILD燃烧条件下,对于所有稀释和湍流水平以及所考虑的两种反应物温度条件,主要燃烧模式是点火。在非预混条件下,点火模式的优势被观察到取决于轴向位置和混合分数分层。当混合气体积分数较大时,燃烧模式在燃烧区域的早期占优势,而爆燃模式在下游进一步增加。另一方面,当混合物分数长度尺度很小时,观察到顺序自燃。最后,观察到的各种燃烧模式强烈相关的混合物分数,其中贫混合物更容易自燃,而化学计量和丰富的混合物更容易反应作为爆燃结构。
Direct Numerical Simulations (DNS) data of Moderate or Intense Low-oxygen Dilution (MILD) combustion are analysed to identify the contributions of the autoignition and flame modes. This is performed using an extended Chemical Explosive Mode Analysis (CEMA) which accounts for diffusion effects allowing it to discriminate between deflagration and autoignition. This analysis indicates that in premixed MILD combustion conditions, the main combustion mode is ignition for all dilution and turbulence levels and for the two reactant temperature conditions considered. In non-premixed conditions, the preponderance of the ignition mode was observed to depend on the axial location and mixture fraction stratification. With a large mixture fraction lengthscale, ignition is more preponderant in the early part of the domain while the deflagrative mode increases further downstream. On the other hand, when the mixture fraction lengthscale is small, sequential autoignition is observed. Finally, the various combustion modes are observed to correlate strongly with mixture fraction where lean mixtures are more likely to autoignite while stoichiometric and rich mixtures are more likely to react as deflagrative structures.
DOI: --
发表时间: 2019
影响因子: 4.4
作者:
Dimitris M. Manias;Efstathios;Y. Minamoto;H. Im
通讯作者: H. Im
DOI: --
发表时间: 2015
期刊:
影响因子: --
作者:
Dimitris Diamantis;D. C. Kyritsis;D. Goussis
通讯作者: D. Goussis