MATEC Web of Conferences (Jan 2022)

Powder Bed Defects Classification: An Industry Perspective

  • Du Rand Francois,
  • Van Tonder Malan,
  • Van Der Merwe Andre,
  • Diegel Olaf,
  • Hagedorn-Hansen Devon,
  • Campbell Ian,
  • Gibson Ian

DOI
https://doi.org/10.1051/matecconf/202237006003
Journal volume & issue
Vol. 370
p. 06003

Abstract

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The manufacture of defect-free parts has been a key discussion topic with the widespread adoption of additive manufacturing by industry. While significant research has been performed on the detection of powder bed defects, the focus has been on the classification of the defects according to defect type. However, when looking at creating a closed loop feedback system, it is important for the machine to make autonomous decisions regarding defects. The focus of this paper will be to create a defect severity classification matrix based on industry partner experience as well as published literature that can be used to autonomously classify defects