journal article·2021-05-07Open access

Orbit Decomposition Method for Rotordynamic Coefficients Identification of Annular Seals

Mingjie Zhang, Jiangang Yang, Wanfu Zhang, Qianlei Gu

Applied Sciences· Volume 11· Issue 9

Abstract

The elliptical orbit whirl model is widely used to identify the frequency-dependent rotordynamic coefficients of annular seals. The existing solution technique of an elliptical orbit whirl model is the transient computational fluid dynamics (CFD) method. Its computational time is very long. For rapid computation, this paper proposes the orbit decomposition method. The elliptical whirl orbit is decomposed into the forward and backward circular whirl orbits. Under small perturbation circumstances, the fluid-induced forces of the elliptical orbit model can be obtained by the linear superposition of the fluid-induced forces arising from the two decomposed circular orbit models. Due to that the fluid-induced forces of circular orbit, the model can be calculated with the steady CFD method, and the transient computations can be replaced with steady ones when calculating the elliptical orbit whirl model. The computational time is significantly reduced. To validate the present method, its rotordynamic results are compared with those of the transient CFD method and experimental data. Comparisons show that the present method can accurately calculate the rotordynamic coefficients. Elliptical orbit parameter analysis reveals that the present method is valid when the whirl amplitude is less than 20% of seal clearance. The effect of ellipticity on rotordynamic coefficients can be ignored.
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Research context

OpenAlex topics: Tribology and Lubrication Engineering · Aerodynamics and Fluid Dynamics Research · Brake Systems and Friction Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

National Engineering Research Center of Turbo-generator Vibration, School of Energy and Environment, Southeast University, Nanjing 210096, China

Institute of Fluid Machinery and Engineering, School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Funding

National Natural Science Foundation of China

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