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Vibration Performance Analysis and Multi-Objective Optimization Design of a Tractor Scissor Seat Suspension System

Author

Listed:
  • 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
    School of Vehicle and Traffic Engineering, Henan Institute of Technology, Xinxiang 453000, China)

  • Liyou Xu

    (College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang 471003, China
    Advanced Manufacturing of Mechanical Equipment Henan Province Collaborative Innovation Center, Henan University of Science and Technology, Luoyang 471003, China)

  • Yuntao Cao

    (General R&D Institute of China FAW Group Co., Ltd., Changchun 130022, China
    State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

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.

Suggested Citation

  • Shuai Zhang & Weizhen Wei & Xiaoliang Chen & Liyou Xu & Yuntao Cao, 2022. "Vibration Performance Analysis and Multi-Objective Optimization Design of a Tractor Scissor Seat Suspension System," Agriculture, MDPI, vol. 13(1), pages 1-28, December.
    • Handle: RePEc:gam:jagris:v:13:y:2022:i:1:p:48-:d:1013236
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    References listed on IDEAS

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    1. Manish Pandey & Rommel G. Regis & Rituparna Datta & Bishakh Bhattacharya, 2021. "Surrogate-assisted multi-objective optimization of the dynamic response of a freight wagon fitted with three-piece bogies," International Journal of Rail Transportation, Taylor & Francis Journals, vol. 9(3), pages 290-309, May.
    2. Yung-Chuan Chen & Li-Wen Chen & Ming-Yen Chang, 2022. "A Design of an Unmanned Electric Tractor Platform," Agriculture, MDPI, vol. 12(1), pages 1-19, January.
    3. Zhen Zhu & Yanpeng Yang & Dongqing Wang & Yingfeng Cai & Longhui Lai, 2022. "Energy Saving Performance of Agricultural Tractor Equipped with Mechanic-Electronic-Hydraulic Powertrain System," Agriculture, MDPI, vol. 12(3), pages 1-22, March.
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