中文摘要：

为降低叶片终锻过程模具磨损采用RSM与GA算法对工艺参数进行优化。用UG结合Deform-3D有限元法分析单榫头叶片模具磨损情况;采用Box-Behnken设计法用Archard模型求解,获得上模压下速度、摩擦因数、锻件温度三因素不同水平下的磨损深度值;分别通过RSM方法和GA算法对工艺参数优化并对结果误差定量分析,结果显示两种方法的误差只有0.78%。将最佳工艺参数组合在deforma-3d模拟验证,两种分析结果均与仿真结果接近。响应面法更加简单直观,实际生产中可以提高优化效率节约成本。

英文摘要：

In order to reduce the wear of the die in the blade final forging process, the parameters will be optimized by RSM and GA algorithm. UG and DEFORM-3D fnite element methods are used to analyze the wear of one tenon blade die; the upper die＇s velocity, friction fartor and forging temperature factors hare effects on the wear depth. Using Archard model and box Behnken methods it obtains the values of wear depth. Through the RSM method and the GA algorithm to optimize the process parameters and analyze the error of the two results quantitativly, the results show that the error of the two methods is only 0.78%. The optimal process parameters are verified by deforma-3d simulation, and the results show that the two results are close to the simulation results. And the RSM method is simpler and can improve the optimization efficiency and save cost in actual production.