6th IPPT_TWINN workshop - Sensor based technology in injection molding - industry 4.0
The first day of the workshop started with presentation by Szabolcs Horvath from company Cavity Eye. He introduced sensors (pressure, temperature, and other sensors) that can be used in the injection molding for more efficient process and for reducing waste. The presenter gave basic theoretical knowledge on the field of which type of sensors are needed for appropriate process parameter detection and ensuring quality of produced parts. Some important technical details regarding pressure, temperature and other sensors were given, as well as theoretical basis of the merged experimental testing procedures and devices. In the following machine learning in injection moulding was introduced by Richard Dominik Parizs. Participants of the workshop also visited all the laboratories for various plastic processing technologies as well as mechanical, chemical, and thermal characterization.
The next day the participants performed practical tests on the injection moulding machine about production based on sensor data. Later that day they delt with processing sensor date with machine learning, model fitting and quality prediction. There was also presentation about material characterization of 3D printed molds.