针对复杂产品装配序列规划耗时、效率低且错误率高等问题,提出了一种基于改进人工蜂群算法的装配序列规划解决方案.首先,综合考虑装配序列的可行性、复杂性、稳定性、重定向性、聚合性等多个因素,构建基于矩阵的装配关系模型及适应性评价函数;其次,通过调用SolidWorks中的应用程序接口(application program interface,API)获取装配对象的相关数据,生成装配关系矩阵,以求装配序列规划问题;最后,以冷藏车的典型零件为对象,验证该方法的可行性.该技术显著缩短了检查时间和减小了错误率,同时提高了效率.
Research on assembly sequence planning technology based on improved artificial bee colony algorithm
A solution for the planning of assembly sequences for complex products,based on an improved artificial bee colony algorithm,has been proposed to address issues such as time-consuming processes,low efficiency,and high error rates.Firstly,considering factors like feasibility,complexity,stability,redirectability,and aggregability of assembly sequences,a matrix-based assembly relationship model and adaptive evaluation function are constructed.Secondly,by utilizing the API in SolidWorks to acquire relevant data of assembly objects,an assembly relationship matrix is generated to solve the assembly sequence planning problem.Finally,taking typical components of a refrigerated truck as the subject,the feasibility of this method has been verified.This technology significantly reduces inspection time and error rates while improving efficiency.
SolidWorks secondary developmentassembly sequence planningimproved artificial bee colonyrefrigerated carAPI function
万方数据
维普
