This research will focus on utilizing the advanced NVIDIA Jetson Orin hardware to analyze data from tool acceleration measurements. The goal of the thesis will be to develop a machine learning model capable of predicting the wear rate of cutting edge, which could help optimize maintenance cycles and reduce unexpected failures.

Contact: Gregor Čepon