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Academic Journal of Engineering and Technology Science, 2024, 7(6); doi: 10.25236/AJETS.2024.070619.

Simulation research on the performance parameters of snake -shaped oil pressure shock absorber dynamic performance parameters

Author(s)

Linman Yang1, Yongqiang Liu1, Zan Zhang2

Corresponding Author:
Zan Zhang
Affiliation(s)

1Department of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang, China 

2Department of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang, China

Abstract

This paper presents the structural design and analysis of an oil pressure shock absorber designed to mitigate hunting motion in locomotives. A physical model of the absorber is developed based on the working principles of hydraulic dampers, incorporating force-displacement (F-S) and force-velocity (F-V) characteristics. A parameterized model for the hunting-resistant oil pressure shock absorber is then created. The model is designed to simulate the performance of the absorber under various locomotive operating conditions, including high-speed linear motion and low-speed curve navigation.Key structural and oil-related parameters are considered in the modeling process. The mathematical model of the hydraulic shock absorber is further translated into a Simulink simulation, where the effects of oil temperature, oil pressure, and air bubbles within the hydraulic fluid are evaluated. The results of a bench test validate the accuracy of the simulation model.Finally, the paper applies the orthogonal test method, utilizing the orthogonal optimization approach from applied statistics, to optimize the design parameters of the rail-hunting hydraulic shock absorber.

Keywords

Preventing hunting motion, Hydraulic shock absorber, Vehicle dynamics

Cite This Paper

Linman Yang, Yongqiang Liu, Zan Zhang. Simulation research on the performance parameters of snake -shaped oil pressure shock absorber dynamic performance parameters. Academic Journal of Engineering and Technology Science (2024) Vol. 7, Issue 6: 128-137. https://doi.org/10.25236/AJETS.2024.070619.

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