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Numerical analysis on evolution process of multiple rotating detonation waves with ethylene–oxygen–nitrogen mixture
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering ( IF 1.1 ) Pub Date : 2021-06-30 , DOI: 10.1177/09544100211030153
Haolong Meng 1 , ChunSheng Weng 1 , Qiang Xiao 1 , Quan Zheng 1 , Yuwen Wu 1 , Fang Wang 1
Affiliation  

Two-dimensional numerical simulations of a rotating detonation combustor (RDC) fueled by ethylene–oxygen–nitrogen were performed to investigate the evolution process of multiple rotating detonation waves (RDWs), that is, initial chaotic stage, self-adjustment stage, and the final stable stage. The number of stable RDWs corresponding to the initial conditions was in good agreement with that predicted by an empirical model proposed by Daniau et al. from Lavrenty’ev Institute of Hydrodynamics (LIH). From the simulation results, the spontaneous formation of a reverse RDW and the transition of trailing waves to detonation waves contribute to the emergence of the chaotic stage. The self-adjustment stage comprises three distinctive parts, which are the self-adjustment of the propagation direction, the number, and the propagation characteristics of RDWs. Furthermore, the double-wave collision was found to play a significant role in modulating the propagation direction as well as the number of RDWs. The same self-adjusting trend of different instantaneous propagation characteristics (e.g., peak pressure, propagation velocity, and wave front height) of the RDWs was observed, suggesting the self-similarity property of the adjusting mechanism demonstrated in the evolution of rotating detonation dynamics.



中文翻译:

乙烯-氧-氮混合气多次旋转爆轰波演化过程的数值分析

以乙烯-氧-氮为燃料的旋转爆震燃烧室 (RDC) 的二维数值模拟研究了多个旋转爆震波 (RDW) 的演化过程,即初始混沌阶段、自调整阶段和最后稳定阶段。对应于初始条件的稳定 RDW 的数量与 Daniau 等人提出的经验模型预测的数量非常一致。来自 Lavrenty'ev 流体动力学研究所 (LIH)。从模拟结果来看,自发形成反向 RDW 和尾波向爆震波的过渡有助于混沌阶段的出现。自调整阶段包括三个不同的部分,分别是传播方向、数量和传播特性的自调整。此外,发现双波碰撞在调制传播方向和 RDW 数量方面起着重要作用。观察到RDW的不同瞬时传播特性(例如,峰值压力、传播速度和波前高度)的相同自调节趋势,表明在旋转爆轰动力学演变中表现出的调节机制的自相似性。

更新日期:2021-07-01
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