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针对航空发动机叶片形状复杂,传统的线轮廓统计控制方法(SPC)难以保证其整体精度的问题,本文基于面轮廓控制图,建立了叶片磨削过程误差监控模型。针对叶片型面特征,采用波纹度参数进行精度监控。建立了测量点到理论型面曲面的最短距离模型,并基于粒子群算法给出了距离求解算法;基于最短距离,构建了基于指数加权移动平均的面轮廓控制图(Exponentially Weighted Moving-Average,EWMA),并通过蒙特卡罗仿真方法给出了控制图上下控制限计算方法。最后通过基于仿真数据的模型验证,表明了该模型的有效性。
In view of the complicated blade shape of aeroengine, the traditional line contour statistic control method (SPC) is difficult to guarantee its overall accuracy. Based on the contour control chart, the error monitoring model of blade grinding process is established. According to the characteristics of blade profiles, the accuracy of waviness parameters is monitored. Based on the shortest distance, an exponentially Weighted Moving-Average (EWMA) algorithm based on Exponentially Weighted Moving-Average (EWMA) ), And through the Monte Carlo simulation method gives the control chart up and down control limits calculation method. Finally, the model verification based on simulation data shows the effectiveness of the model.