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Machine Learning Enhanced Process Simulation in Laser Powder Bed Fusion (LPBF)

Lay summary

Process simulation-based distortion compensation will be implemented to improve the productivity and profitability of Laser Powder Bed Fusion (LPBF) and to reduce lead times. Dedicated calibration procedures will be developed and enhanced by Machine Learning methods for generalized applicability.

Abstract

Process simulation-based distortion compensation will be implemented to improve the productivity and profitability of Laser Powder Bed Fusion (LPBF) and to reduce lead times. Dedicated calibration procedures will be developed and enhanced by Machine Learning methods for generalized applicability.

  Thomas Mayer
Timo Schudeleit