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Multidimensional chemistry coordinate mapping approach for combustion modelling with finite-rate chemistry

机译:多维化学坐标映射方法用于有限速率化学燃烧模型

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A multidimensional chemistry coordinate mapping (CCM) approach is presented for efficient integration of chemical kinetics in numerical simulations of turbulent reactive flows. In CCM the flow transport is integrated in the computational cells in physical space, whereas the integration chemical reactions are carried out in a phase space made up of a few principal variables. Each cell in the phase space corresponds to several computational cells in the physical space, resulting in a speedup of the numerical integration. In reactive flows with small hydrocarbon fuels two principal variables have been shown to be satisfactory to construct the phase space. The two principal variables are the temperature (T) and the specific element mass ratio of the H atom (J_H). A third principal variable, σ=?J_H·?J_H, which is related to the dissipation rate of J_H, is required to construct the phase space for combustion processes with an initially non-premixed mixture. For complex higher hydrocarbon fuels, e.g. n-heptane, care has to be taken in selecting the phase space in order to model the low-temperature chemistry and ignition process. In this article, a multidimensional CCM algorithm is described for a systematic selection of the principal variables. The method is evaluated by simulating a laminar partially remixed pre-vaporised n-heptane jet ignition process. The CCM approach is then extended to simulate n-heptane spray combustion by coupling the CCM and Reynolds averaged Navier-Stokes (RANS) code. It is shown that the computational time for the integration of chemical reactions can be reduced to only 3-7%, while the result from the CCM method is identical to that of direct integration of the chemistry in the computational cells.
机译:提出了多维化学坐标映射(CCM)方法,用于在湍流反应流的数值模拟中有效整合化学动力学。在CCM中,流传输被集成在物理空间中的计算单元中,而集成化学反应则在由几个主要变量组成的相空间中进行。相空间中的每个像元对应于物理空间中的几个计算像元,从而加快了数值积分的速度。在使用少量烃类燃料的反应性流中,两个主要变量已显示出令人满意的构造相空间。两个主要变量是温度(T)和H原子的特定元素质量比(J_H)。需要第三主变量σ=ΔJ_H·ΔJ_H,其与J_H的耗散率有关,以构造具有初始未预混合的混合物的燃烧过程的相空间。对于复杂的高级碳氢化合物燃料,例如正庚烷时,在选择相空间时必须格外小心,以便为低温化学和点火过程建模。本文介绍了多维CCM算法,用于系统选择主要变量。通过模拟层流部分重新混合的预蒸发正庚烷喷射点火过程来评估该方法。然后,通过耦合CCM和雷诺平均Navier-Stokes(RANS)代码,将CCM方法扩展为模拟正庚烷喷雾燃烧。结果表明,化学反应积分的计算时间可以减少到3-7%,而CCM方法的结果与化学分子在计算单元中直接积分的结果相同。

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