遗传算法在非零变位弧齿锥齿轮强度优化计算中的应用  

Application of Genetic Algorithm to Intensity Optimization of Nonzero-coefficient Spiral Bevel Gears

作　　者：张华[1] 邓效忠[1] 魏冰阳[2] 

机构地区：[1]江苏大学机械工程学院,江苏镇江212013 [2]河南科技大学机电工程学院,河南洛阳471003

出　　处：《拖拉机与农用运输车》2006年第1期86-87,共2页Tractor & Farm Transporter

摘　　要：根据弧齿锥齿轮的非零变位原理,以齿轮的弯曲强度几何系数J最大为目标函数,以齿形不发生异常为约束条件,利用遗传算法对变位系数进行优化。由于优化后齿轮齿形的变化,在同样的载荷条件下轮齿所受的工作弯曲应力减小,可提高齿轮的弯曲强度。Based on the theory of nonzero-coefficient spiral bevel gears ,the gear optimization has been reached while taking the maximal gear geometry coefficent J as the objective function and the teeth shape without obnormity as the restriction condition. Comparing with traditional gears, under the same load, the optimized teeth would produce smaller bend stress, so as the gears＇ bend intensity can be improved.

关 键 词：弧齿锥齿轮 非零变位 遗传算法 强度优化 

分 类 号：TH132.416[机械工程—机械制造及自动化]