Vibration Performance Analysis and Multi-Objective Optimization Design of a Tractor Scissor Seat Suspension System
Shuai Zhang,
Weizhen Wei,
Xiaoliang Chen,
Liyou Xu () and
Yuntao Cao
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Shuai Zhang: College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang 471003, China
Weizhen Wei: College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang 471003, China
Xiaoliang Chen: College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang 471003, China
Liyou Xu: College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang 471003, China
Yuntao Cao: General R&D Institute of China FAW Group Co., Ltd., Changchun 130022, China
Agriculture, 2022, vol. 13, issue 1, 1-28
Abstract:
The combination of characteristic parameters is the key and difficult point to improving the vibration attenuation of scissor seat suspension. This paper proposes a multi-objective optimization method based on entropy weight gray correlation to optimize the combination of characteristic parameters with better vibration attenuation. The differential equation of seat suspension motion is derived through mechanical analysis, and a simplified driver seat suspension single degree of freedom model is constructed. The range of spring stiffness and damper damping is calculated theoretically. Through main effect analysis and analysis of contribution, the main influencing factors of seat suspension vibration attenuation are studied, and the influence correlation of the main factors is analyzed. On this basis, the spring stiffness and damper damping are taken as control variables, and the upper plane acceleration, displacement, and transfer rate of the seat suspension are taken as optimization objectives. The Optimal Latin Hypercube Sampling (OLHS) was used to sample the Design of Experiments (DoE), fit the RBF surrogate model, and screen the optimal solution based on the MNSGA-II algorithm and entropy weight gray relation ranking method. The comparative analysis of the performance before and after optimization shows that the vibration reduction performance response indexes of the acceleration, displacement, and transmissibility of the optimized seats are increased by 66.41%, 2.31%, and 8.19%, respectively. The design and optimization method proposed in this study has a significant effect on the vibration reduction of seats, which provides a reference for the optimization of the vibration reduction performance of seat suspension.
Keywords: scissor seat; suspension system; vibration performance; approximate model; multi-objective optimization (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:13:y:2022:i:1:p:48-:d:1013236
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