Spatiotemporal Characterization of Unsteady Cascade Flow Fields Driven by Rotor Stator Interaction Using Modal Decomposition

ZHOU Xiangxin; LI Teng; YANG Weijian; LIN Yongkang; ZHANG Tao; YAO Jianyao

doi:10.21656/1000-0887.450121

Volume 46 Issue 2

Feb. 2025

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Article Navigation > Applied Mathematics and Mechanics > 2025 > 46(2): 223-240

ZHOU Xiangxin, LI Teng, YANG Weijian, LIN Yongkang, ZHANG Tao, YAO Jianyao. Spatiotemporal Characterization of Unsteady Cascade Flow Fields Driven by Rotor Stator Interaction Using Modal Decomposition[J]. Applied Mathematics and Mechanics, 2025, 46(2): 223-240. doi: 10.21656/1000-0887.450121

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Spatiotemporal Characterization of Unsteady Cascade Flow Fields Driven by Rotor Stator Interaction Using Modal Decomposition

doi: 10.21656/1000-0887.450121

1.
College of Aerospace Engineering, Chongqing University, Chongqing 400044, P.R.China
2.
Research Institute of Aero-Engine, Beihang University, Beijing 102206, P.R.China
3.
Taihang Laboratory, Chengdu 610213, P.R.China

Received Date: 2024-04-29
Rev Recd Date: 2024-09-04
Publish Date: 2025-02-01

Abstract

Abstract

The unsteady flow caused by the rotor-stator interaction is the primary excitation source for the forced response of the blade/blisk. A more accurate and comprehensive characterization of the spatiotemporal features of the rotor-stator interaction unsteady flow field is of significance for the analysis of fluid-structure interaction vibrations. The typical modal analysis methods such as the proper orthogonal decomposition (POD) and the dynamic mode decomposition (DMD) were employed to effectively identify and extract the excitation components from complex flow systems. With a 1.5-stage turbine cascade as the example, the POD method and the DMD method were used to obtain the flow modes and temporal bases of the 2D rotor-stator interaction flow field, and analyse the spatiotemporal characterization of the blade channel. The results show that, the both modal decomposition methods can effectively identify the flow characteristics and realize the reasonable reduction of the flow field. The POD method, with the modal energy ranking, can accurately identify the dominant flow structures in the flow field. Meanwhile, the DMD method based on frequency characteristics can rapidly pinpoint the excitation frequencies and engine orders of each mode in the flow field. Compared to the fast Fourier transform (FFT) methods, the modal decomposition techniques are not influenced by the sampling locations and effectively combine full-field flow recognition with local feature analysis. This approach facilitates swift analysis of unsteady excitation-coupled vibrations in turbomachinery.
- transient flow field,
- proper orthogonal decomposition,
- dynamic mode decomposition,
- rotor-stator interaction,
- unsteady excitation

(Recommended by YAN Bo, M.AMM Editorial Board)

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References(47)

References

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