基于遗传算法的采煤机摇臂减速器的优化设计

Optimal Design of Rocker Reducer Based on Genetic Algorithm

摇臂减速器是采煤机的重要传动部件,传统的设计方法会造成较大的设计余量,使减速箱的体积偏大。为了解决此问题,运用遗传算法(GA),针对MG650/1620-WD型电牵引采煤机摇臂减速器进行优化设计。以第1对齿轮副为研究对象,以体积最小为优化目标,结合惩罚函数法得出目标函数,并借助Sheffield大学开发的GATBX工具箱进行了实现。

Rocker reducer is an important driving part of the shearer, and the traditional design method will cause large design allowance, which makes the volume of reducer too large. In order to solve this problem, aims for the optimal design of rocker reducer in the MG650/1620-WD electricity hauling coal mining machine. The first pair of gears is taken as research object, the minimum volume is taken as objective function. Combined with the penalty function method, the objective function is get and realized by the GATBX toolbox of Sheffield university.