Evaluation of Surge Prediction Capabilities of Body-Force Model on a High-Speed Multi-Stage Axial-Radial Compressor

Hanxuan Zeng, Tengbo Fan, Zhenzhong Sun, Baotong Wang, Xinqian Zheng
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引用次数: 1

Abstract

Multi-stage axial-radial compressors are typical configurations of compression systems used in turboshaft engines. The aerodynamic instabilities encountered in this type of compressor are commonly identified as surge, which seriously threaten the operability and reliability of the compressor itself and even the entire engine. Therefore, correct prediction of surge characteristics and the aerodynamic loading are crucial during the design process. However, due to the complexity of compressor surge, high-fidelity numerical methods, like unsteady Reynolds-averaged Navier-Stokes (URANS) simulation, require enormous computational resources and time costs, which can barely be used in design iterations. Therefore, finding a more efficient way for surge prediction is essential. This paper describes a general method of surge prediction based on an in-house code of body-force model. A high-speed multi-stage axial-radial compressor is used to evaluate the capabilities of this method to predict surge characteristics against URANS. The run-time is reduced by approximately 2 orders of magnitude. Key features of surge (i.e., flow reversal, flow resumption, and repressurization) and the aerodynamic loading during surge are compared. Overall, the results from the two method show a close matching. Additional analyses are also made on the fidelity limitations of this method in the prediction of finer surge features, and the corresponding modifications are proposed.
高速多级轴向径向压缩机体力模型喘振预测能力评价
多级轴向-径向压气机是涡轮轴发动机压缩系统的典型配置。这类压气机遇到的气动不稳定性通常被称为喘振,喘振严重威胁压气机本身乃至整个发动机的可操作性和可靠性。因此,在设计过程中,正确预测喘振特性和气动载荷是至关重要的。然而,由于压气机喘振的复杂性,高保真的数值方法,如非定常reynolds -average Navier-Stokes (URANS)模拟,需要大量的计算资源和时间成本,几乎不能用于设计迭代。因此,寻找一种更有效的电涌预测方法至关重要。本文介绍了一种基于体力模型内部代码的喘振预测的一般方法。以高速多级轴向径向压气机为例,对该方法在URANS下预测喘振特性的能力进行了评估。运行时间减少了大约2个数量级。比较了喘振的主要特征(即流量反转、流量恢复和再增压)和喘振过程中的气动载荷。总的来说,两种方法的结果非常接近。此外,还分析了该方法在预测更精细的浪涌特征时的保真度限制,并提出了相应的修正方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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