基于多目标优化遗传搜索算法的切削条件合理选择的研究  

Studying of Rational Choice of the Cutting Conditions Based on the Multi-objective Optimization Genetic Algorithm

作　　者：闻霞[1] 吴龙[1] 晋芳伟[1] 

机构地区：[1]三明学院机电工程学院,福建三明365004

出　　处：《三明学院学报》2013年第2期42-48,共7页Journal of Sanming University

基　　金：福建省产学合作科技重大项目(2011H6023;2012H6018);福建省质量工程项目(ZL1002/RM(SJ))

摘　　要：通过多目标优化遗传搜索算法,在满足切削加工目标的前提下求得切削用量问题的Pareto最优前沿解集,得到一系列不同条件的最优的加工方案,从中灵活的选择合适地切削用量,以满足不同条件切削加工的需要。该算法在获得高生产率和降低加工成本之间寻求合理选择切削条件提供了有效的途径,提高了切削条件选择精确性,增大了切削加工工艺设计的灵活性,为金属切削条件选择提供了多种可行的合理方案。Through the multi-objective optimization genetic search algorithm, get cutting dosage of Pareto optimal front solution sets in order to satisfy the premise of machining target, get a series of different conditions of the optimal pro- cessing scheme, to flexible choose appropriate cutting dosage, to meet the needs of different cutting conditions. This algo- rithm provides an efficient way to seek a reasonable choice cutting condition in obtain high productivity and reduce process- ing cost between,improve the cutting condition selection accuracy, increase the machining process design flexibility, for metal cutting condition selection offers a variety of feasible reasonable scheme.

关 键 词：智能控制 多目标优化 遗传算法 PARETO最优解 切削条件 

分 类 号：TG659[金属学及工艺—金属切削加工及机床]