基于非定常CFD方法的低压压缩机近失速预测

D. Vanpouille, D. Papadogiannis, S. Hiernaux
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引用次数: 0

摘要

喘振裕度对航空压气机的安全性至关重要,因此必须在设计过程中使用CFD对其进行早期预测。然而,接近浪涌的稳态雷诺平均纳维-斯托克斯(RANS)模拟被证明是不充分的。非定常RANS (URANS)和大涡模拟(LES)等非定常技术可以提供更可靠的预测。然而,这种方法的准确性取决于处理转子/定子界面的方法。最精确的方法,滑动网格,需要模拟整个环空或周期扇区,这可能是非常昂贵的。其他的技术也可以减少该区域,如相位滞后方法或几何叶片缩放,但对近失速条件下的流动引入了限制性假设。本文的目的是使用不同保真度的非定常方法来研究低压压气机的近失速流动:具有相位滞后假设的URANS,周期扇区上的URANS,以及使用几何叶片缩放实现的较小周期扇区上的高保真LES。结果与实验测量值进行了比较。总体上达成了良好的一致。结果表明,叶尖泄漏涡不是造成失速的原因,引起了轮毂角分离。LES进一步验证了(U)RANS的流动预测,并为非定常流分离提供了更多的见解。
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Low-Pressure Compressor Near-Stall Predictions Using Unsteady CFD Methods
Surge margin is critical for the safety of aeronautical compressors, hence predicting it early in the design process using CFD is mandatory. However, close to surge, steady-state Reynolds Averaged Navier-Stokes (RANS) simulations are proven inadequate. Unsteady techniques such as Unsteady RANS (URANS) and Large Eddy Simulation (LES) can provide more reliable predictions. Nevertheless, the accuracy of such methods are dependent on the method used to handle the rotor/stator interfaces. The most precise method, the sliding mesh, requires simulating the full annulus or a periodic sector, which can be very costly. Other techniques to reduce the domain exist, such as the phase-lagged approach or geometric blade scaling, but introduce restrictive assumptions on the flow at near-stall conditions. The objective of this paper is to investigate the near-stall flow of a low-pressure compressor using unsteady methods of varying fidelity: URANS with the phase lag assumption, URANS on a periodic sector and a high-fidelity LES on a smaller periodic sector achieved using geometric blade scaling. Results are compared to experimental measurements. An overall good agreement is found. Results show that the tip leakage vortex is not the origin of the stall on the studied configuration and a hub corner separation is initiated. LES further validates the (U)RANS flow predictions and brings additional insight on unsteady flow separations.
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