A New Method for Quality Analysis of Multi-Process Manufacture

Traditional statistical process control methods mainly rely on the calculation of potential process capability and control process capability index to complete the evaluation of process quality. However, with the complication of manufacturing equipment and process, and the variation of equipment process indicators, the relationship between process parameters and quality is increasingly complicated. Therefore, aiming at the difficulties in looking for process quality defects, this paper introduced the method of integrated multi-process coupling correlation analysis based on Light GBM, and established a composite correlation model for the influence of process parameters in different processes on each process quality index. The method are applied in a multi-process manufacture in the injection molding process. The key processes and corresponding process parameters that affect process quality in multi-process scenarios are explored based on this method.