Optimization design of stepped variable gap MR damper based on genetic algorithm

GUO Jiaxuan1, ZHANG Yanjuan1, 2, LUO Tianzhou1, YANG Jianwei1, 2, LI Xin1

Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (21) : 291-299.

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PDF(3146 KB)
Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (21) : 291-299.

Optimization design of stepped variable gap MR damper based on genetic algorithm

  • GUO Jiaxuan1, ZHANG Yanjuan1,2, LUO Tianzhou1, YANG Jianwei1,2, LI Xin1
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Abstract

In response to the issues of constrained damping force adjustment range, large physical footprint, and heightened energy consumption associated with magneticrheological dampers (MRDs) utilized in lower limb prostheses, a novel solution is proposed: a stepped variable gap MRD. This damper is capable of modulating output damping force in accordance with diverse human gait requirements by controlling coil current and adjusting the damping gap.The structure and working principle of this type of MRD are described. A calculation model of damping force has been established and magnetic circuit analysis has been carried out. With the goal of meeting the requirements of damping force for lower limb prostheses while minimizing damper power and piston volume, a multi-objective genetic algorithm was employed to optimize the key structural parameters of the stepped variable gap MRD and obtain the optimal structural size. Magnetic field and mechanical properties of the optimized damper were then simulated to verify the rationality of the optimization results. These results demonstrate a 23.3% reduction in total power and a 28.4% reduction in piston volume, thus providing good reference for the optimization design of MRDs for prosthetic limbs.

Key words

magnetorheological damper / structural design / multi-objective optimization / numerical simulation

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GUO Jiaxuan1, ZHANG Yanjuan1, 2, LUO Tianzhou1, YANG Jianwei1, 2, LI Xin1. Optimization design of stepped variable gap MR damper based on genetic algorithm[J]. Journal of Vibration and Shock, 2024, 43(21): 291-299

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