A principal component analysis model-based predictive controller for controlling part warpage in plastic injection molding

作者：

Highlights：

• Quality measurement on injection molded parts are related to process parameter data.

• The data experimentation data is analyzed using statistical methods (PCA), (ICA) and (ANOVA).

• Models are constructed to predict a quality index based on data analysis results.

• A MPC scheme that allows for on-line quality control was developed using the models.

• The presented scheme is extendable to a variety of manufacturing processes.

摘要

•Quality measurement on injection molded parts are related to process parameter data.•The data experimentation data is analyzed using statistical methods (PCA), (ICA) and (ANOVA).•Models are constructed to predict a quality index based on data analysis results.•A MPC scheme that allows for on-line quality control was developed using the models.•The presented scheme is extendable to a variety of manufacturing processes.

论文关键词：On-line quality control,Data mining,MPC,Injection molding,Mathematical modeling

论文评审过程：Available online 22 November 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.11.030