基于灰色关联决策的薄壁铣削变形预测研究

Distortion Prediction of Milling Thin-walled Workpiece Based on Gray Decision Model

提出一种基于灰色预测的铝合金薄壁件铣削变形量的评价方法,能够同时考虑影响铣削变形量的多种工艺因素变化。为探讨多因素耦合的薄壁铣削工艺参数对薄壁变形量的影响程度及优化预测,利用正交试验采集部分样本数据,采用灰色关联法对薄壁铣削工艺参数进行优势因素分析,利用灰色决策优化工艺试验方案获得最优工艺参数,最后建立了针对铝合金薄壁件铣削工艺参数的灰色多元预测模型,并对该预测模型的预测效果和精度进行分析验证。

A gray relational prediction method is proposed to evaluate the milling deformation of thin-wall of aluminium alloy materials. This method takes into account the various factors which influence on the deformation amount. In order to investigate and predict the deformation effects of mutual coupling multiple process parameters during milling thin-walled work-piece, a set of orthogonal experiment are carried out for obtaining some sample data. Gray correlation method is used to analyze the optimization factor of milling process parameters. Experimental program is optimized by gray decision method to get optimal process parameters. Gay multi-variable prediction model of thin-wall milling process parameters is built, and the predictive effect and accuracy are verified.