ICTM Collaborative R&D 2024

Data driven wear detection of machine components

© RWTH Aachen DAP

Which data along the LPBF process chain can be turned into valuable insights

Challenge and Motivation

  • For some data along the additive process chain, it is not clear if it can be used to gain insights or if it might be of interest for a quality report or other parties.
  • Moreover, quality measures often represent are large share of overall part costs and could potentially reduced or simplified using the collected data.


  • Analyzing which data is collected and can be used to generate insights for the L-PBF process chain.
  • Mapping qualification and certification needs to available data.