ICTM Aachen – International Center for Turbomachinery ManufacturingData driven wear detection of machine components
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.
Objective
- 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.