Data-Driven, Automated Quality Optimization in Injection Molding Processes

Injection molding is the most widely used plastic processing method. Companies with modern injection molding machines generate a large amount of process data. This process data is usually only recorded. The challenge lies in making this process data usable.

The goal of the project is to create a process-data-based model that predicts, for an ongoing injection molding process, whether consistent part quality can be expected. Furthermore
, the project aims to identify which process data indicate instability in order to derive possible corrective actions.