Guangdong Advanced Polymer Manufacturing Technology and Equipment Key Laboratory, South China University of Technology
Aiming at the problems of low efficiency and high cost of manual quality inspection in injection molding production process, a method for predicting and judging whether the product size is qualified based on injection molding process data is proposed. Firstly, for the cleaned data set, five classification models such as LR model and SVM model are selected by 5-fold cross validation, and then ROC curve and AUC value are used as performance evaluation indexes, The classification performance of five classification models under different feature selection methods is comprehensively compared and analyzed. The results show that the combination of tree model feature selection and LR algorithm shows excellent classification performance for the data set in this paper, and the accuracy can reach 96.42%, which has a certain engineering application value.
宋建,王宇峰,李东,等. 基于过程数据的注塑制品尺寸合格性判定研究[J]. 科学技术与工程, , ():复制