Research project "Glassist"
Project duration: February 2019 to January 2022
Machine operators still require extensive knowledge and experience in order to produce highly sophisticated components. At the same time, processes are becoming more demanding as a result of material savings in lightweight construction, for example: In the case of thin-walled components, component vibrations during machining are more likely. This, in turn, can cause anomalies in the workpiece and lead to component rejection. Since operators have had only few or no assistances, they often had to rely on their sensory perception to monitor and control such manufacturing processes. They usually control the stability of the process through their sense of touching and hearing; when they interpret the sounds of machine vibrations or assess the surface quality of the finished parts by looking at the component in detail, for example.
Increase usability through assistance systems
If process data is recorded in real time and automatically evaluated, future scenarios can be derived using analytical and data-driven models. If this data is provided to the operator in the form of intuitively interpretable information, the production can be significantly simplified. Intelligent assistance systems, such as those widely used in the automotive industry, offer an easy way towards stable and efficient manufacturing processes. They can increase the usability of the entire system and enable that even an inexperienced operator can operate the machine in optimal way.