Optimization an Off-Road Vehicle Seat Suspension by Metaheuristic Method
DOI: https://doi.org/10.55571/jima.2022.04021
Authors:Mohammad Gohari
Affiliation:
Faculty of Mechanical Engineering, Arak University of Technology, Iran
Department of Engineering, Markazi Institute of Agricultural Research, Agriculture Ministry, Arak, Iran
Information:Journal of Intelligent Mechanics and Automation. 2022 Vol. 1 No. 1 pp 1-9
Abstract: Passenger seat is main part of vehicle which has direct effect on transmitted vibration to the body. Seat suspension can remove unwanted and harmful vibration if right parameters were selected. Each human body organs has specific natural frequency. When vehicle vibration reaches to this frequency range, resonance will occur, and this phenomenon is harmful in long term. Usually lumped models were used to predict human body response to vibration. In this paper, via Qassem biodynamic model, the relative displacement of lumbar spine seat to spine vibration transmissibility was minimized by artificial neural network method. By this technique, optimal spring constant and damping coefficient were found and verified.
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Cite This Article:Gohari M, Tahmasebi M. (2022). Optimization an Off-Road Vehicle Seat Suspension by Metaheuristic Method. Journal of Intelligent Mechanics and Automation, Vol.1, No.1, pp 1-9