Paper
4 March 2024 Acoustic optimization design study of a typical valve-controlled hydraulic system
Nei Wang, Yuan Qian, Yong Wu, Chao Xiang, Junhua Hu
Author Affiliations +
Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129812H (2024) https://doi.org/10.1117/12.3015071
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China
Abstract
This paper mainly studies the acoustic optimization design based on typical valve-controlled hydraulic system. Firstly, by changing the output pressure and other key parameters, the pipeline pressure curve of the pump, valve group, hydraulic cylinder and other key equipment is calculated, and its noise characteristics are analyzed. Secondly, the accumulator, throttle valve and other typical vibration damping components are added to the system to simulate the influence of typical vibration damping components on the system noise under different parameters. In addition, this paper also studies the influence of pipeline parameters on the noise of the hydraulic system, and obtains the influence of different pipeline parameters on the pressure pulsation of the system by setting different pipe clamp distances and other influences on the natural frequency of the system. In order to complete the above analysis process, this paper first builds simulation models of hydraulic oil source and typical hydraulic system by AMESim. Then by using the control variable method , various working conditions are calculated. According to the simulation results, the noise characteristics and the acoustic design principles of the typical hydraulic system are summarized in this paper.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Nei Wang, Yuan Qian, Yong Wu, Chao Xiang, and Junhua Hu "Acoustic optimization design study of a typical valve-controlled hydraulic system", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129812H (4 March 2024); https://doi.org/10.1117/12.3015071
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