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Investigation of the effect of chemistry models on the numerical predictions of the supersonic combustion of hydrogen

机译：化学模型对氢超音速燃烧数值预测影响的研究

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摘要

In this numerical study, the influence of chemistry models on the predictions of supersonic combustion in a model combustor is investigated. To this end, 3D, compressible, turbulent, reacting flow calculations with a detailed chemistry model (with 37 reactions and 9 species) and the Spalart-Allmaras turbulence model have been carried out. These results are compared with earlier results obtained using single step chemistry. Hydrogen is used as the fuel and three fuel injection schemes, namely, strut, staged (i.e., strut and wall) and wall injection, are considered to evaluate the impact of the chemistry models on the flow field predictions. Predictions of the mass fractions of major species, minor species, dimensionless stagnation temperature, dimensionless static pressure rise and thrust percentage along the combustor length are presented and discussed. Overall performance metrics such as mixing efficiency and combustion efficiency are used to draw inferences on the nature (whether mixing- or kinetic-controlled) and the completeness of the combustion process. The predicted values of the dimensionless wall static pressure are compared with experimental data reported in the literature. The calculations show that multi step chemistry predicts higher and more wide spread heat release than what is predicted by single step chemistry. In addition, it is also shown that multi step chemistry predicts intricate details of the combustion process such as the ignition distance and induction distance.
机译：在此数值研究中，研究了化学模型对模型燃烧室中超音速燃烧预测的影响。为此，已经进行了具有详细化学模型（具有37种反应和9种物质）的3D可压缩湍流反应流计算和Spalart-Allmaras湍流模型。将这些结果与使用单步化学方法获得的早期结果进行比较。使用氢气作为燃料，并考虑了三种燃料喷射方案，即支杆，分段式（即支杆和壁式）和壁式喷射，以评估化学模型对流场预测的影响。提出并讨论了主要种类，次要种类，无因次停滞温度，无因次静压上升和沿燃烧器长度的推力百分比的质量分数的预测。诸如混合效率和燃烧效率之类的总体性能指标可用于推断燃烧过程的性质（无论是混合控制还是动力学控制）和完整性。将无因次壁静压力的预测值与文献中报道的实验数据进行了比较。计算表明，与单步化学方法相比，多步化学方法预测的散发热量更高，更广泛。此外，还显示出多步化学方法可预测燃烧过程的复杂细节，例如点火距离和诱导距离。

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