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首页> 外文期刊>Aerospace science and technology >Impacts of jet angle and jet-to-crossflow pressure ratio on the mixing augmentation mechanism in a shcramjet engine
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Impacts of jet angle and jet-to-crossflow pressure ratio on the mixing augmentation mechanism in a shcramjet engine

机译：射流角和射流与横流压力比对shcramjet发动机混合增强机制的影响

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摘要

The mixing process between the fuel and the incoming flow should be taken into consideration for the shock-induced combustion ramjet (shcramjet) engine, and this is pivotal for its successful engineering implementation. In the current study, the impacts of the gaseous fuel jet angle and the jet-to-crossflow pressure ratio are investigated numerically in order to make a foundational study and reveal the mixing augmentation mechanisms of different conditions. Flow fields windward and leeward are studied, and some parameters are provided to evaluate the flow field properties quantitatively, namely the mixing efficiency, the total pressure recovery coefficient, the fuel penetration depth and the mixing length. The obtained results predicted by the three-dimensional Reynolds-Averaged Navier-Stoke (RANS) equations coupled with the two equation shear stress transport (SST) k-omega turbulence model show that both the jet angle and the jet-to-crossflow pressure ratio have a great influence on the flow field, and the hydrogen distribution and streamwise vorticity downstream of the injectant orifice are affected seriously. The small jet angle and low jet-to-crossflow pressure ratio are more beneficial for the air-fuel mixing but with some shortcomings, and there needs an optimum result in the future to capture better achievement. (C) 2019 Elsevier Masson SAS. All rights reserved.
机译：冲击诱导燃烧冲压发动机（shcramjet）发动机应考虑到燃料与进入流之间的混合过程，这对于其成功的工程实施至关重要。在当前的研究中，数值研究了气态燃料喷射角和喷射流与横流压力比的影响，以便进行基础研究并揭示不同条件下的混合增强机理。研究了流场的迎风面和背风面，并提供了一些参数来定量地评价流场特性，即混合效率，总压力恢复系数，燃料渗透深度和混合长度。三维雷诺平均Navier-Stoke（RANS）方程与两个方程的剪切应力传递（SST）k-omega湍流模型相结合所预测的结果表明，射流角和射流与横流压力之比对流场有很大的影响，并且严重影响了注入孔下游的氢分布和流向涡度。小的喷射角和低的喷射流与横流的压力比更有利于空燃混合，但有一些缺点，将来需要最佳结果以取得更好的成绩。 （C）2019 Elsevier Masson SAS。版权所有。

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