Journal of the Korean Society of Manufacturing Process Engineers (한국기계가공학회지)

The Korean Society of Manufacturing Process Engineers (한국기계가공학회)
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Optimization of the Suspension Design to Reduce the Ride Vibration of 90kW-Class Tractor Cabin

90kW급 트랙터 캐빈의 승차 진동 저감을 위한 현가장치 설계 최적화

  • Chung, Woo-Jin (Department of Biosystems and Biomaterials Science and Engineering, Seoul National University) ;
  • Oh, Ju-Sun (Department of Biosystems and Biomaterials Science and Engineering, Seoul National University) ;
  • Park, Yoonna (Tongyangmoolsan co., LTD.) ;
  • Kim, Dae-Cheol (Department of Bio-Industrial Machinery Engineering, Chonbuk National University) ;
  • Park, Young-Jun (Department of Biosystems and Biomaterials Science and Engineering, Seoul National University)
  • 정우진 (서울대학교 바이오시스템소재학부) ;
  • 오주선 (서울대학교 바이오시스템소재학부) ;
  • 박윤나 (동양물산기업(주) 중앙기술연구소) ;
  • 김대철 (전북대학교 생물산업기계공학과) ;
  • 박영준 (서울대학교 바이오시스템소재학부)
  • Received : 2017.09.01
  • Accepted : 2017.09.12
  • Published : 2017.10.31
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Abstract

This study was conducted to optimize the spring constant and the damping coefficient, which are design parameters of the tractor cabin suspension system, to minimize the ride vibration. A 3D tractor MBD (multi-body dynamics) model with a cabin suspension system was developed using a dynamic analysis program (Recurdyn). Using the developed model and optimization algorithm, the spring constant and the damping coefficient, which are the design parameters of the cabin suspension for the tractor, was were optimized so thatto minimize the maximum overshoot for the vertical displacement of the cabin was minimized. The percent maximum overshoot of the tractor cabin was simulated for the 13 initial models, which were obtained using the ISCD-II method, and for the 3 additional SAO models presented in the optimization algorithm software. The model that represents with the smallest percent maximum overshoot among the 16 models was selected as the optimized model. The percent maximum overshoot of the optimized model was about approximately 5% lower than that of the existing model.

Keywords

References

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