基于遗传算法的拉丝机压缩比的优化设计  

Optimal design on compressibility of wire drawing machine based on genetic algorithm

作　　者：潘洋宇[1] 朱迅[1] 

机构地区：[1]淮安信息职业技术学院机电工程系,江苏淮安223003

出　　处：《机械设计》2012年第7期72-74,共3页Journal of Machine Design

摘　　要：以LZ-9/1200拉丝机为例,运用遗传算法,以总拉拔力最小为目标,对多道次钢丝拉拔成形过程的每道次部分压缩比进行了优化设计。以Java软件为编程工具,采用面向对象的编程技术,经过选择、交叉、变异多次迭代,得到了符合要求的满意解,为实际生产提供了可行方案。In this paper, by taking LZ-9/1200 wire drawing machine as an example, applying genetic algorithm and taking min-imum total drawing force as an object, the compressibility for each pass of multi pass steel wire drawing process was designed and opti-mized. By taking Java software as the programming tool and apply-ing object-oriented programming technology, as well as through se-lection, crossover, variation and multiple iterations, the satisfactory solution which meets the requirements was obtained, providing a feasible proposal for the actual production.

关 键 词：拉丝机 钢丝拉拔 压缩比 遗传算法 

分 类 号：TH16[机械工程—机械制造及自动化]