Journal of South China University of Technology(Natural Science Edition) ›› 2026, Vol. 54 ›› Issue (1): 149-160.doi: 10.12141/j.issn.1000-565X.250044

• Mechanical Engineering • Previous Articles    

Characteristics and High-Precision Positioning Analysis of Fluid-Solid Noise Sources in Inclined 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 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
  • Received:2025-02-06 Online:2026-01-10 Published:2025-07-01
  • Contact: HUANG Hui E-mail:200210011@fzu.edu.cn;huihuang@fzu.edu.cn
  • Supported by:
    the National Natural Science Foundation of China(52105053);the Sub Project of 2022 Fujian Provincial Higher Education Collaborative Science and Technology Program(2022H6017);the 2022 Fujian Provincial Central Guiding Local Science and Technology Development Fund(2022L3070)

Abstract:

As the main actuator in hydraulic systems, motors generate significant noise radiation that increasingly fails to meet low-noise requirements. Due to unresolved issues such as unclear primary noise sources and low loca-lization accuracy, noise reduction in motors remains challenging. Therefore, to identify the main noise sources and improve localization accuracy, this study employed multiple approaches: A fluid simulation model of the motor was established using Pumplinx software to obtain the variation of fluid excitation forces at the motor’s port plate. A co-simulation using ADAMS and AMESim was conducted to acquire the variation of excitation forces caused by pistons impacting the cylinder block during motor operation. Combined with transient finite element analysis, the transient analysis method in ANSYS was used to obtain the vibration displacement response on the surfaces of the motor housing and rear end cover. Using this vibration data from ANSYS as acoustic boundary conditions, a boundary element analysis was performed in LMS Virtual Lab to simulate the motor’s acoustic field, thereby identifying the main noise sources and primary noise generation areas. Subsequently, a motor sound intensity noise test bench was designed to obtain sound intensity variation cloud maps, verifying the accuracy of the multi-physics simulation results. Then, considering the relationships among the observation matrix, sparse representation, and reconstruction algorithm, the regularized orthogonal matching pursuit reconstruction algorithm was adopted to determine the loca-lization areas of the main motor noise. Finally, the feasibility of the optimized reconstruction algorithm in improving loca-lization accuracy was verified with the sound intensity test bench. The results show that the multi-physics field simulation of the motor model is correct, the main noise sources are the pressure impact at the valve plate and piston collisions, the main noise area is distributed around the valve plate, and the new localization accuracy reaches 25 mm, achieving the determination of the main motor noise sources and an improvement in localization accuracy.

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

CLC Number: