基于稳健性的肘杆传动机构的优化设计

Optimization Design of Elbow-bar Transfer Mechanism Based on Robust Design

采用复数矢量法建立了肘杆传动机构的运动方程,运用稳健设计原理,以肘杆传动机构的几何参数为设计变量,以满足曲柄摇杆机构及滑块位移条件为约束,以滑块冲压阶段的最大速度以及速度波动为目标函数,同时考虑杆件制造误差的影响,采用具有正态分布参数的蒙特卡洛法采样和多目标遗传算法对机构进行稳健性优化设计。优化结果表明,该方法更符合实际情况,且当设计变量发生变异时,能有效保证机构性能。

The motion equations of elbow-bar transfer mechanism are set up with the method of complex vector. The robust optimization design method is applied to elbow-bar transfer mechanism, with the geometrical parameters as design variables, the crank-rocker mechanism and slide block distance as constraint, minimum of the maximum speed and speed fluctuation during the stamping stage as object function, as well as the effects of the manufacture tolerances are considerated. Mento carlo with normal distribution is used as sampling method and MOGA（ multi-object genetic algorithms） as optimization method. The results prove the method can be used to meet the real conditions, compared with the traditional optimization design, moreover when design parameters are little uncertainty, the function of elbow-bar transfer mechanism is ensured by the metyod.