轻工机械2018，Vol.36Issue(1)：19-23,28,6.DOI:10.3969/j.issn.1005-2895.2018.01.005
基于改进粒子群算法的装配序列规划研究
Assembly Sequence Planning Based on Improved Particle Swarm Algorithm
摘要
Abstract
In order to solve combination explosion and the shortage of the traditional single station algorithms for the assembly sequence,an improved particle swarm algorithm was presented to solve the multi-station ASP.The precedence relation matrix was designed by the priority sequence diagram.The assembly interference matrix was constructed to describe the geometry relationship of the compliant assemblies.The feasible assembly sequence function was evaluated by the thin plate assembly tolerance analysis.The improved particle swarm optimization algorithm was used to design the optimized assembly sequence.The application results show that the improved algorithm can effectively reduce the assembly deviation.This improved algorithm can improve assembly efficiency and product assembly quality.关键词
装配序列规划ASP/公差分析/粒子群算法/优先关系矩阵/装配干涉矩阵Key words
ASP(assembly sequence planning)/tolerance analysis/particle swarm algorithm/precedence relation matrix/assembly interference matrix分类
矿业与冶金引用本文复制引用
罗留祥,邢彦锋..基于改进粒子群算法的装配序列规划研究[J].轻工机械,2018,36(1):19-23,28,6.基金项目
国家自然科学基金(51575335). （51575335）
