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Methodology to Study the Behavior of Tracer Particles in the Flow Field of Rotor 37 Using CFD Data

机译:使用CFD数据研究示踪粒子在转子37流场中行为的方法

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In air-breathing applications, non-intrusive optical techniques are one of the best ways to estimate the velocity of flow. The presence of tracer particles in these applications causes uncertainty in the velocity estimation. The impact of particle presence has been dealt with and quantified in many of the previous works for stationary transonic flows. In the current work, a method to understand the effect of the tracer particle presence in a rotating turbomachinery case is presented. National Aeronautics and Space Administration (NASA) Rotor 37 has been one of the standard cases for testing Computational Fluid Dynamics (CFD) codes in turbomachinery applications. Rotor 37 CFD data was post-processed by spawning particles with mass into its flow field. The Lagrangian Particle Tracking (LPT) method was implemented to obtain the particle data. Preliminary results obtained showed a significant impact on the velocity prediction in the downstream region of the inlet bow shock and the passage shock. It was also found out that at 70% span the passage shock causes high variation in velocity downstream when compared to its respective CFD data.
机译:在空气呼吸应用中,非侵入式光学技术是估计流速的最佳方法之一。在这些应用中,示踪剂颗粒的存在会导致速度估算的不确定性。对于平稳的跨音速流动,在许多先前的工作中已经处理并量化了粒子存在的影响。在当前的工作中,提出了一种方法,以了解在旋转的涡轮机械情况下示踪颗粒的存在的影响。美国国家航空航天局(NASA)的转子37已成为测试涡轮机械应用中的计算流体力学(CFD)代码的标准案例之一。转子37 CFD数据通过在其流场中产生质量较大的粒子进行后处理。拉格朗日粒子跟踪(LPT)方法被实现以获得粒子数据。初步结果表明,对进气弓激波和通行激波下游区域的速度预测有重大影响。还发现,在跨度为70%的情况下,与其各自的CFD数据相比,通道冲击会导致下游速度发生较大变化。

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