摘要
针对工艺设计过程中工艺路线的优化问题,通过分析复杂箱体类零件特征,并将其细分为加工元,在考虑优化过程中存在的问题和相关工艺约束的基础上,将工艺路线的优化转化为加工元的优先排序。以机床、夹具和刀具变换次数最少建立目标优化模型,利用改进的遗传算法进行求解,避免了遗传算法"早熟"的缺陷。以某型号缸体为研究对象验证该改进算法的有效性,结果表明该算法具有很好的收敛性。
According to the current problems of process route optimization during the process design, the complex part features were divided into several feature machining elements, then the optimization of process route was changed to the priority of feature machining elements considering the problems in the process of optimization and related process constraints. An objective function was built by minimizing the transform of machine tools, fixtures and cutting tools, using an improved genetic algorithm to avoid the premature defects of the genetic algorithm. Finally, a case of cylinder block was illustrated to verify the efficiency of the hybrid algorithm, and the results show that the improved algorithm has a good convergence.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2013年第2期202-208,共7页
China Mechanical Engineering
基金
国家科技重大专项(2011ZX04015-022)
上海市基础性研究重点项目(11JC1413200)
中央高校基本科研业务费专项资金资助项目(1000219119)
关键词
工艺路线
加工元
组合优化
遗传模拟退火算法
process route
feature machining element
combinatorial optimization
genetic simulated annealing algorithm
