Automatic process monitoring with iQ clamp control and machine learning
by Thomas Hutterer and Roman C. Kerschbaumer, Polymer Competence Center Leoben; Gerald R. Berger-Weber and
Walter Friesenbichler, Montan University Leoben; and Alexander Klutz, Thomas Leng and Karlheinz Mayr, Engel
With the increasing digitalization of injection molding, new process parameters are coming under the spotlight. Engel, together with the Polymer Competence Center Leoben and Montan University Leoben, Austria, is using machine learning methods to explore the potential of mold breathing for quality assurance in rubber injection molding. This research project was supported by the partner company SKF Sealing Solutions Austria.