摘要
给出了叠层制造领域中零件制作方向优化的 3种单目标模型 ,且单目标优化分别以提高原型表面质量、减少支撑和缩短制作时间为目标 ;单目标优化模型的解集包含了此目标意义下零件的最优、较优分层方向。提出了零件制作方向优化的带权 -p模理想点综合决策模型。设计了一种经改进的混合遗传算法 ,并用其对零件制作方向优化的 3种单目标模型及综合决策模型进行了求解。工艺实验不仅证实了提出的个单目标模型及综合决策模型的正确性与通用性 ,且证明出基于混合遗传算法的分层方向优化算法具有运算快速、可靠等优点。
Three single-objective optimization models of part-building orientation for layered manufacturing are designed in this paper.The synthetic decision-making model based on ideal point and weighted with -p module is presented.A kind of new mixed genetic algorithm is designed and employed. The following facts are proved by the technical experiments: both these single-objective optimization models and the synthetic decision-making model are correct and of all-purpose. Furthermore, the optimizing procedure of the part-building orientation based on mixed genetic algorithm is dependable and convenient.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2003年第19期1642-1645,共4页
China Mechanical Engineering
基金
高等学校博士学科点专项科研基金资助项目(2 0 0 10 2 880 13 )
国防军工技术基础计划资助项目(C182 0 0 1C0 0 2 )
关键词
叠层制造
分层方向
优化
模型
遗传算法
layered manufacturing slicing orientation optimization model genetic algorithm
