ML@KaroProd | Machine Learning for Prediction of Process Parameters and Component Quality in Automotive Body Production

The ML@KaroProd project is a BMBF-funded project with the goal of,

machine learning for the prediction of process parameters and component quality in automotive body production.

The object of the research project is model development and the application of machine learning (ML) to accelerate planning and series start-up in car body production. In this context, the input and output data generated in the process development or production start-up phase are to be used for the development of prognosis models for process optimization or for quality assurance in production. In addition to the process- and component-related parameters, expert knowledge of manufacturing technology is also to be taken into account in model development.