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Numerical Investigation on Influence on the Regression Rate of the Inlet Parameters in Solid Fuel Scramjet Combustor

机译:固体燃料超燃燃烧器入口参数回归率影响的数值研究

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The influence on the regression rate of the inlet parameters of a solid fuel (PMMA) under supersonic cross flow has been investigated theoretically and numerically. Based on two-dimensional compressible N-S equations and species transport equations, the regression rate values were obtained by adding to the source term in the quality, momentum and energy of the fuel. With different inlet parameters, i.e., stagnation temperature and pressure, the combustion conditions were analyzed at the flame-holding zone and the constant diameter cylindrical section. Comparison between numerical results with test data showed fair agreement, indicating the correctness of the calculation model. The results show that increasing the amount of oxygen or the mixture of the fuel and oxidant can improve the combustion efficiency; the inlet mass flow of air、 stagnation temperature and depth of cavity has a great impact on the regression rate, then the impact of the length of cavity was slightly smaller, the impact of the stagnation pressure was minimum.
机译:从理论和数值上研究了超声速横流对固体燃料(PMMA)入口参数回归率的影响。基于二维可压缩的N-S方程和物质传输方程,通过将源质量与燃料的质量,动量和能量相加,得出回归率值。在不同的进气参数(即停滞温度和压力)下,分析了在火焰保持区和等径圆柱截面上的燃烧条件。数值结果与测试数据之间的比较显示出合理的一致性,表明了计算模型的正确性。结果表明,增加氧气或燃料与氧化剂的混合量可以提高燃烧效率。空气的入口质量流量,停滞温度和型腔深度对回归速率有很大的影响,然后型腔长度的影响略小,停滞压力的影响最小。

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