Data-based process development and control in multi-material jetting technology

Data-driven methods such as Data Mining (DM) and Machine Learning (ML) are contributing to the development and optimisation of new Additive Manufacturing (AM) technologies and associated materials beyond the limits of existing empirical knowledge [1, 2]. These methods enable an increase in manufacturing and development efficiency, accompanied by methods for condition monitoring and on-demand maintenance that increase asset availability [3].