基于遗传算法的蜗杆蜗轮优化设计  

Optimization Design of Worm Gears Based on Genetic Algorithm

作　　者：武洪恩[1] 王宜宁 程玉玲[1] 徐雯斐[1] 

机构地区：[1]山东科技大学机械电子工程学院,山东青岛266590

出　　处：《机械工程师》2015年第3期20-22,共3页Mechanical Engineer

摘　　要：以蜗轮的有色金属齿圈体积最小为目标函数,并从设计经验本身、运动性能、边界条件等方面建立合理的约束条件,建立了蜗轮齿圈的优化设计数学模型。应用MATLAB遗传算法工具箱寻求全局最优解。优化结果表明,采用遗传算法能够快捷有效地对蜗杆齿轮进行优化设计,是对蜗杆齿轮优化设计的一种有效方法。The minimum volume of worm gear non-ferrous metal ring is taken as the objective function. Reasonable constraints are established according to design experience, kinematic performance, and boundary conditions. The mathematical optimal design module is set up for worm gears. The results show that the genetic algorithms can quickly and effectively optimize the design of worm gears, which is an effective way to design and optimize the performance of the worm gears.

关 键 词：蜗杆蜗轮 MATLAB 优化设计 遗传算法 

分 类 号：TH132[机械工程—机械制造及自动化]