Bachelor-/ Master Thesis: »Tool Wear meets Federated Learning«

At the Fraunhofer IPT in Aachen, we work with more than 530 employees every day to make the production of the future more digital, more flexible and more sustainable. In the department , we deal with high-quality requirements in the metal cutting industry, especially in highly regulated sectors such as aerospace.

As part of your thesis, you will investigate federated learning for decentralized AI model training for tool wear detection and measurement in milling processes within the »FL4AI« project. A custom dataset has been acquired, consisting of microscopic tool wear images and CNC-integrated camera videos. Your task will be to generate AI pipelines to detect and measure flank wear according to ISO DIN 8688-2 in centralized, individual, and federated learning scenar...