Thus, Kiel University of Applied Sciences and Rheinmetall started last year a collaborative research project with the aim of developing an AI assistance system. It should provide the (inexperienced) operator with information on process anomalies and recommendations on how to counteract these deviations through targeted intervention in the process. It enables easier operation of the MSF by the human operator, who can override the AI assistant at any time. This minimizes the risk of repairs not meeting the permissible quality tolerances. Further it ensures that the repaired parts and components are at least sufficiently close to the qualification requirements originally defined by the manufacturer for new parts. This plays a particularly important role in terms of product liability and the risk to be maintained within a reasonable range.
First results of the development of an AI assistant, striving for a high performance level to serve the requirements of low operator skill level, will be presented. The selection of the corresponding sensor technologies needed to acquire sufficient in-process data will be included as well.
Speakers:
Prof. Dr.-Ing. Alexander Mattes, Professor for Manufacturing Technology, Fachhochschule Kiel
Thomas Kerk, Team Leader System Support, Rheinmetall Landsysteme GmbH
Laurin Vettel, Researcher, Fachhochschule Kiel