Journal of South China University of Technology(Natural Science Edition) ›› 2026, Vol. 54 ›› Issue (1): 142-153.doi: 10.12141/j.issn.1000-565X.250044

• Mechanical Engineering • Previous Articles    

Characteristics and High-Precision Positioning Analysis of Fluid-Solid Noise Sources in Bent Axis Piston Motor

CHEN Fulong1   HUANG Hui1   DU Heng1   SU Junshou2,3   LI Yuzheng1   LI Fuqi1   

  1. 1. School of Mechanical Engineering and Automation/ Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control of Fujian Province University, Fuzhou University, Fuzhou 350108, Fujian, China;

    2. Jiangsu XCMG State Key Laboratory Technology Co., Ltd., Xuzhou 221004, Jiangsu, China;

    3. School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China

  • Online:2026-01-25 Published:2025-07-01

Abstract:

As the primary actuator in hydraulic systems, motors generate significant noise radiation that increasingly fails to meet low-noise requirements. Furthermore, the lack of clarity regarding the primary noise sources and the low localization accuracy in current methodologies have resulted in persistently unsatisfactory noise reduction effectiveness. To clarify the main sources of motor noise and improve the localization accuracy, a multi-physics approach was implemented. First, a fluid dynamics model of the motor was established using Pumplinx to analyze fluid-induced vibration forces at the valve plate. Co-simulation of ADAMS and AMESim was conducted to capture vibration forces generated by piston-cylinder collisions during motor operation. Transient dynamic analysis in ANSYS was then employed to obtain vibration displacement responses on the motor housing and rear cover surfaces. These vibration results were applied as acoustic boundary conditions in LMS Virtual.Lab, combined with the Boundary Element Method (BEM), to simulate the motor’s acoustic field, identifying the primary noise sources and dominant regions. A dedicated acoustic intensity test bench was designed to acquire noise distribution maps, validating the multi-physics co-simulation results. The Regularized Orthogonal Matching Pursuit (ROMP) algorithm, integrating observation matrices, sparse representation, and reconstruction techniques, was further utilized to refine noise localization accuracy. Final experimental verification confirmed the feasibility of the optimized algorithm. Results demonstrated the accuracy of the multi-physics model, revealing that the main noise originates from pressure impacts at the valve plate and piston collisions, with the valve plate region identified as the primary noise source. The refined localization precision reached 25 mm, achieving enhanced determination and spatial resolution of motor noise sources.

Key words: bent axis piston motor, fluid-solid noise source, exciting force analysis, sound intensity image, regularized orthogonal matching pursuit