Performance Optimization and Lightweight Design of Floating Raft Vibration Isolation System Based on RBF-PSO Algorithm

Objectives To solve the problems of heavy workload and long iteration period in lightweight design of floating raft vibration isolation system in engineering, a lightweight design method based on RBF-PSO multi-objective optimization algorithm is proposed.

Methods For this issue, the vibration isolation system of plate-frame floating raft is taken as the research object. Establishment of Finite Element Model Based on Ansys APDL. Calculate the vibration isolation performance and impact resistance. Vibration isolation performance of floating raft is tested through experiments. Verify the accuracy of numerical simulation by comparing with numerical simulation results. Full finite difference method is used to analyze the parameter sensitivity of the floating raft vibration isolation system. Appropriate design variables are selected through the sensitivity analysis results. The design of the floating raft isolation system is lightweight based on the RBF-PSO multi-objective optimization algorithm.

Results The results show that after optimization, the optimized raft mass is 63.03 kg. Compared with the original raft, the weight of the lightweight raft is reduced by 31.92%. The vibration isolation performance of the floating raft isolation system is increased by 2.48 dB. The impact resistance of the equipment is also improved. The error between the optimized value of RBF-PSO and the calculated value of numerical simulation is less than 1%.

Conclusions Therefore, RBF-PSO optimization algorithm can be effectively applied to the lightweight design of the floating raft vibration isolation system.