关键词: 粒子群优化算法, 遗传算法, 车身, 装配操作, 优化

Abstract: To improve the auto-body assembly dimensional quality by assembly technology optimization, aiming at the geometric feasible assembly sequences for the auto-body, the precedence relationships and assembly control characteristics quantity between parts were described by multi-attribute directed graph to eliminate the unfeasible engineering assembly sequences. With assembly dimensional quality as the objective function, the hybrid particle swarm optimization and genetic algorithm was proposed to optimize the assembly operations between parts. The optimal assembly sequence was obtained through assembly variation propagating based on linear assembly variation analysis model. The optimization of assembly control characteristics was illustrated by auto-body side assembly. The results indicated that the selection of assembly control characteristics was affected by different assembly sequences, thus the final product assembly variation was affected.

Key words: particle swarm optimization algorithm, genetic algorithms, auto-body, assembly operation, optimization