摘要
针对现有装配序列规划方法在多目标优化求解准确性和效率等方面存在的不足,提出了新的装配模型及序列优化算法.首先构造了结构紧凑、包含更多装配关系信息的接触-连接矩阵,以及能有效解决非正交方向装配问题的扩展干涉矩阵,研究了通过干涉检测自动提取矩阵信息的方法.从自动化和量化角度研究了影响装配效率的若干规则,提供定制各规则及其优先顺序的柔性.提出了根据以上信息逐级筛选最优解,以构造最优序列的优化算法.最后以UG为平台开发了原型系统,以阀门为例,验证了本方法的可行性、高效性及其良好的可视化仿真效果.
Aiming at the deficiency and inaccuracy in multi-objective optimization for assembly sequence planning, a novel assembly model and optimization algorithm is proposed. A more compact contact-connection matrix is constructed to provide more information in relation to assembly, and. an extended interference matrix is given to solve the assembly problems in nonorthogonal direction to which other existing methods are unable. The methods for automatically acquiring the matricies are also studied. Several rules that affect assembly efficiency are studied from the viewpoints of automatic planning and customizing them and their priorities. Then, an quantification, with the flexibility provided for optimization algorithm is proposed via screening out the information as above stepwise so as to form a wholly optimized sequence. A prototype system is developed on UG platform with a valve taken as example to verify the feasibility and effectiveness of the method proposed, as well as its good visualized simulation effect.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2009年第11期1636-1640,共5页
Journal of Northeastern University(Natural Science)
基金
解放军总装备部武器装备预研基金资助项目(9140A18010207LN0101)
关键词
装配序列规划
优化算法
优先规则
筛选
接触-连接矩阵
扩展干涉矩阵
assembly sequence planning
optimization algorithm
priority rules
screening
contact-connection matrix
extended interference matrix
