基于主成分回归法的Johnson-Cook损伤准则的渐进成形破裂预测

Progressive prognosis rupture prediction based on Johnson-Cook damage criterion based on principal component regression

板材加工过程中时常会产生裂痕甚至破裂,为了能够更加精确地预测出板料成形时破裂的高度,以Johnson-Cook损伤准则为标准,采用主成分分析法,通过正交实验的方法测量破裂数据,使用SPSS和MALTAB数据分析软件具体诠释了刀具直径、层间距、成形角、板料厚度、成形高度和制件尺寸这6个工艺参数对破裂的影响,构建出渐进成形板材破裂预测线性回归方程。结果表明:基于16个工作件的实测数据建立的主成分回归模型,预测得出两试验件板材破裂高度分别为−10.7530 mm和−10.8150 mm,与实际破裂高度误差仅为3.84%和6.14%。由此可见,板材破裂模型具有一定的可行性和准确性,可以更好地预测板料破裂高度,尽可能地防止成形缺陷。

In order to be able to more accurately predict the height of fracture when the sheet metal is formed,this paper takes the Johnson-Cook damage criterion as the standard,adopts the principal component analysis method,measures the fracture data by orthogonal experiment method,and uses SPSS and MALTAB data analysis software to specifically interpret the impact of the six process parameters of tool diameter,layer spacing,forming angle,sheet thickness,forming height and part size on the fracture.Construct a predicted linear regression equation for progressively formed sheet rupture.The results show that the principal component regression model based on the measured data of 16 workpieces predicts that the fracture height of the two test pieces is−10.7530 mm and−10.8150 mm,respectively,and the error between the actual fracture height is only 3.84%and 6.14%.It can be seen that the plate fracture model has a certain feasibility and accuracy,which can better predict the height of sheet fracture and prevent forming defects as much as possible.