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基于高效特征值分析方法的旋转失速先兆预测(航空发动机非定常流固热声耦合专栏)

徐慎忍1,何晨2,孙大坤3,4,袁蔡嘉1,曹东明1,赵家资1,王丁喜1   

  1. 1. 西北工业大学
    2. 中国空气动力研究与发展中心
    3.
    4. 北京航空航天大学
  • 收稿日期:2022-11-09 修回日期:2023-01-21 出版日期:2023-02-01 发布日期:2023-02-01
  • 通讯作者: 何晨
  • 基金资助:
    国家自然科学基金

An efficient eigenvalue analysis method for rotating stall inception study

  • Received:2022-11-09 Revised:2023-01-21 Online:2023-02-01 Published:2023-02-01
  • Supported by:
    National Natural Science Foundation of China

摘要: 旋转失速限制了压气机稳定工作的范围,因此对其进行深入理解和实现准确预测是控制失速、提高裕度的关键。尽管目前已存在多种解释失速起始点流动失稳机理的模型,然而各类模型一般都基于对几何和流动一定程度的简化,鲜有考虑实际压气机三维效应及其复杂流动,因此直接将其应用于实际压气机失速点预测时仍面临巨大挑战。同时,尽管目前实验测量和流场模拟仿真水平不断提高,绝大多数实验和数值模拟大多为唯象研究,缺乏对于压气机内流动失稳根本原因的揭示。并且由于三维复杂流动精细化测量和高保真模拟的复杂性,大多数失速研究针对某一压气机的若干孤立工况开展,缺乏系统的参数化研究,难以提炼出旋转失速的关键影响因素。为弥补实验测试空间分辨率低和非定常流动模拟成本高的缺陷,本文提出了一种完全基于三维流动控制方程雅可比矩阵高效特征值求解的全局稳定性分析方法。此方法一方面可以获得实验测量难以达到的空间分辨率,另一方面能够以比非定常模拟成本小两到三个量级的成本获得同样丰富的三维流场小扰动发展过程,为准确预测真实压气机失速、深入探索压气机内三维流动失稳机理、系统研究流动稳定性的关键影响参数等提供了一种高效分析工具。本文针对某典型跨声速压气机环形叶栅,首先采用Newton-Krylov全隐式时间推进方法求解雷诺平均纳维斯托克斯(RANS)流动方程以获得失速工况附近的稳态流场。随后,利用在全隐式流场求解过程中得到的精确雅可比矩阵,通过高效迭代算法获得其关键特征值和特征向量。压气机失速边界即可根据特征值分析结果快速确定,无需再依赖于计算成本极高的非定常模拟。最后,对通过特征值计算获得的不稳定模态进行了详细研究,发现所研究压气机环形叶栅旋转失速模态与激波边界层干扰现象存在高度相关性。同时,通过与非定常模拟比较验证了所计算失稳模态的准确性。另外,基于特征模态的分析,首次对实验中常见的失速模态周向波数与其旋转速度正相关这一现象给出了一种解释。本文所发展的高效特征值分析方法计算成本仅为定常特性线计算成本的28%,且相比于非定常计算实现了约155倍的加速,为三维高性能高负荷压气机旋转失速准确快速预测和机理研究提供了重要的研究工具。

关键词: 稳定性分析, 特征值方法, 压气机, 旋转失速, 模态波

Abstract: Rotating stall limits the stable operating range of compressors; thus a deep understanding and accurate prediction of this phenomenon is key to stall prediction and control. Although there are a variety of models to explain the flow insta-bility mechanism of the stall onset, all are based on certain simplification of the compressor geometry and flow, and rarely consider the three-dimensional effect of the actual compressor and its complex flow. Therefore, great challenges are faced when directly applying these models to the stall onset prediction of actual compressors. Meanwhile, despite the progress in experimental measurements and flow simulations, most experiments and numerical simulations are mostly phenomenological research, and did not reveal the root cause of compressor flow instability. Moreover, due to the complexity of three-dimensional flow measurements and the high cost of unsteady simulations, most stall studies are conducted only for isolated working conditions of a particular compressor, as a systematic parametric study to iden-tify the key influencing factors is too costly. In order to circumvent the shortcomings of both measurements and un-steady simulations, a global stability analysis method based on the efficient eigenvalue solution of the three-dimensional flow governing equation is proposed. On the one hand, this method can obtain the spatial resolution that is difficult to achieve by experimental measurement, and on the other hand, it can obtain the same rich information of the three-dimensional flow perturbation development at a cost two to three orders smaller than the unsteady simulation, which provides an efficient analysis tool for accurately predicting the stall onset, exploring the flow destabilization mechanism, and systematically studying the key influencing parameters of flow instability. In this paper, for a typical transonic compressor annular cascade, the Newton-Krylov fully implicit time propulsion method is first used to solve the Reynolds-averaged Navier--Stokes (RANS) equations to obtain steady-state flow solutions near the stall condition. Then, the accurate Jacobian matrix obtained for the converged steady state is used to compute relevant eigenvalues and eigenvectors through efficient iterative algorithms. The compressor stall boundary can be quickly determined based on the eigenvalues, without resorting to computationally expensive unsteady simulations. Finally, the unstable modes obtained are studied in detail, and it is found that the rotating stall modes of the compressor are highly correlated with the phenomenon of shock boundary layer interaction. At the same time, the accuracy of the calculated modes is veri-fied via comparison with unsteady simulation results. In addition, based on the analysis of eigenmodes, for the first time, an explanation is given for the positive correlation between the circumferential wavenumber of stall modes and their rotation speed, which has been frequently seen in experiments but was never satisfactorily explained. The computa-tional cost of the efficient eigenvalue analysis method developed in this paper is only 28% of that for computing one steady speedline, and it is 155 times faster than the unsteady calculation. Therefore the proposed eigenvalue-based stability analysis method provides an important research tool for accurate and rapid prediction and mechanism re-search of rotational stall of three-dimensional highly-loaded compressor.

Key words: Global stability analysis, eigenvalue method, compressor, rotating stall, modal wave