Aug 03, 2018

Public workspaceStandard method for microCT-based additive manufacturing quality control 4: metal powder analysis

  • Anton du Plessis1
  • 1University of Stellenbosch
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Protocol CitationAnton du Plessis 2018. Standard method for microCT-based additive manufacturing quality control 4: metal powder analysis. protocols.io https://dx.doi.org/10.17504/protocols.io.sbyeapw
Manuscript citation:
A du Plessis, I Yadroistava, SG le Roux, I Yadroitsev, 'X-ray microcomputed tomography in additive manufacturing: a review of the current technology and applications', 3D printing and additive manufacturing. http://doi.org/10.1089/3dp.2018.0060
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License,  which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
Created: August 03, 2018
Last Modified: August 03, 2018
Protocol Integer ID: 14424
Keywords: additive manufacturing, microCT, x-ray tomography, metal powders, standardization in powder analysis, powder analysis, ti6al4v powder, analyse powder feedstock, additive manufacturing quality control, commercial powder bed fusion, based additive manufacturing quality control, additive manufacturing community, defects in powder, computed tomography, standard method for microct, powder, image analysis procedure, identification of impurity, scan condition
Abstract
X-ray micro computed tomography (microCT) can be applied to analyse powder feedstock used in additive manufacturing. In this paper, we demonstrate a dedicated workflow for this analysis method, specifically for Ti6Al4V powder typically used in commercial powder bed fusion (PBF) additive manufacturing (AM) systems. The methodology presented includes sample size requirements, scan conditions and settings, reconstruction and image analysis procedures. We envisage this method will support standardization in powder analysis in the additive manufacturing community. This is aimed at ultimately improving the quality of additively manufactured parts, through the identification of impurities and defects in powders.
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