Elsevier

Procedia CIRP

Volume 81, 2019, Pages 747-752
Procedia CIRP

Vision-based melt pool monitoring system setup for additive manufacturing

Under a Creative Commons license
open access

Abstract

This work outlines a reference guideline for the realization and the optimization of a vision-based monitoring system for metal Additive Manufacturing (AM) processes. We perform the selection of equipment and image processing methods in the spirit of providing a monitoring solution that could be cost affordable and easily integrated into any laser-based AM machine. By experimental tests conducted on a commercial Direct Energy Deposition machine, we assess the equipment configuration and camera acquisition settings that, in addition to the proposed image-processing algorithm, could optimize the anomaly detection during the deposition.

Keywords

metal Additive Manufacturing
vision systems
process monitoring
Direct Energy Deposition