Abstract: Aiming at the problems of heavy weight and low efficiency in the wheel reducer of the mining electric wheel dump truck, the multi-objective optimization design of the wheel reducer drive system is carried out on the premise of satisfying the smooth operation of the wheel reducer. The particle swarm optimization (GA-PSO) hybrid algorithm with the genetic idea is adopted. The volume and transmission efficiency of planetary gear trains are taken as the optimization objectives, which is constrained by 8 constraints such as assembly, and the mathematical model is established and solved accordingly. By comparing and analyzing the original model and the optimized model, it is shown that the transmission efficiency of the wheel reducer after optimization is increased by 0.79% and its volume is reduced by 11.36%. The load spectrum is set according to the actual working conditions, and the life of each gear after optimization is analyzed. The results show that the damage ratio of the secondary sun gear is the largest which is 9.63%, with a total service life reaching 756 400 h. The service life of other gears meets the design requirements.

Key words: mine electric wheel dump truck, optimization design, GA-PSO hybridization algorithm, wheel reducer