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Additive Manufacturing of Metals - Powder Bed Fusion (PBF) - Best Practice for In-Situ Flaw Detection and Analysis for Laser-based PBF


In this document, a workflow that includes experimental procedures and flaw (imperfection) detection algorithms to identify the location of flaws created during the powder bed fusion-laser-based (PBF-LB) process of metals is explained. These flaws may have detrimental effects on the printed part mechanical performance. In this practice, only guidelines and workflow for coaxial photodiode-based in-situ monitoring as well as the associated statistical and machine learning flaw detection algorithms are provided. This practice does not address the security risks associated with manufacturing and environmental information. It is the responsibility of the user to follow practices and establish appropriate information technology related security measures. WARNING - This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety, health, and environmental practices and determine the applicability of regulatory limitations prior to use.





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Responsible national committee

NA 145-04-02 GA - Additive Manufacturing – NWT, NAS & NL Joint working committee Metals and Aerospace  

Responsible european committee

CEN/TC 438 - Additive Manufacturing  

Responsible international committee

ISO/TC 261/JG 59 - Joint ISO/TC 261-ASTM F 42 Group: NDT for AM parts  



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