Prediction method of blade flutter boundary in a compressor stage

ZHANG Xiao-wei; WANG Yan-rong; XU Ke-ning

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Prediction method of blade flutter boundary in a compressor stage

更新时间：2026-07-07

- Prediction method of blade flutter boundary in a compressor stage
- Vol. 26, Issue 2, (2011)
- 作者机构：
  
  北京航空航天大学能源与动力工程学院,北京,100191
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
移动端阅览
ZHANG Xiao-wei, WANG Yan-rong, XU Ke-ning. Prediction method of blade flutter boundary in a compressor stage[J]. 2011, 26(2).
DOI：

ZHANG Xiao-wei, WANG Yan-rong, XU Ke-ning. Prediction method of blade flutter boundary in a compressor stage[J]. 2011, 26(2). DOI：

摘要

通过发展的基于能量法的颤振数值预测方法得到了压气机转子叶片的颤振边界.将计算结构动力学(CSD)分析得到的叶片表面节点位移插值到耦合面的流体网格点上

并将设计的多层动网格技术应用于计算流体动力学(CFD)方法

实现叶栅振荡作用下的非定常分析

得到叶片表面的非定常气动功以及模态气动阻尼比.以某第一级压气机转子叶片为例

对比了不同振型、不同工况下的气动弹性稳定性

并最终在压气机转子特性图上给出了叶片的失速颤振边界.计算结果表明:所发展的数值预测方法可以用于分析压气机叶片的气动弹性稳定性

并通过模态气动阻尼比能够较好地给出压气机叶片的颤振边界.

Abstract

The blade flutter boundary in a compressor stage was obtained by the developed numerical prediction method based on the energy method.The displacements of blade surface structural nodes

obtained from the computational structural dynamics (CSD) analysis

were transferred to fluid interface grids

and the designed multi-layer moving grid technique was applied to computational fluid dynamics (CFD).The unsteady analysis under the oscillating cascades was achieved to calculate the unsteady aerodynamic work for aerodynamic modal damping ratio.For a certain first-stage compressor rotor

the aeroelastic stability of different operating conditions was investigated and compared at different blade modes.And the blade flutter boundary has been obtained by analyzing the distribution of aerodynamic modal damping ratio in compressor characteristic map.The results show that the developed numerical method for aerodynamic modal damping ratio to determine the flutter boundary is feasible to preliminarily predict the aeroelastic stability of compressor blade.

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Related Institution

Collaborative Innovation Center for Advanced Aero-Engine

School of Energy and Power Engineering,Beijing University of Aeronautics and Astronautics

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北京航空航天大学宇航学院

先进航空发动机协同创新中心

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