Parallelsession: Systemintegration

Talk 1: Predict and maximize the dressing interval of the grinding wheel with AI, Bojan Miličić, MEDIUS

We collaborated with Volvo engineers to predict and extend the sharpening and maintenance intervals for tools used in the production of drive shafts.

By analyzing input data, regarding materials, hardening processes, and coolants—alongside all metric data from the production machinery, such as rotation speeds and pressures—and correlating this with product quality data, we are able to calculate in real-time how long a tool can remain in operation before requiring maintenance,  using Digital Twins and custom AI models.

Extending these intervals saves €300,000 per tool, per machine, as premature maintenance is extremely costly. Most interestingly, this model is scalable and can be transferred to all other machines.