In order to improve the lightness and reliability of wet clutch, this paper proposed a new method of wet clutch optimization design based on I-PSO algorithm and MATLAB/Simulink. It carried out the dynamic analysis of wet clutch, and built the simulation model of power transmission of wet clutch based on MATLAB / Simulink. The method introduced the idea of perturbation of particles in simulated annealing algorithm to improve the improved particle swarm optimization algorithm again, and verified the effect of the improved algorithm based on a test function. It selected sliding grinding power and volume of the clutch as the optimization objective. Finally, combined with the improved particle swarm optimization algorithm and the wet clutch simulation model established in MATLAB/Simulink, it carried out the multi-objective optimization design of a specific type of wet clutch. The results show that the improved particle swarm optimization algorithm has a certain effect on the speed and accuracy of the optimization. Compared with the original design, the total objective function of the optimized wet clutch is reduced by about 40.12%, and the sliding grinding work is reduced by about 61.8%. The optimization effect is obvious.

[2019-12-05] Printed Article /doc/2018.08.0595/v2