Powder characterization using X-ray tomography and image analysis

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Conference2016 International Conference on Powder Metallurgy and Particulate Materials, Powdermet 2016, June 5-8, 2016, Boston, USA
AbstractLarge scale deployment of additive manufacturing (AM) processes relies on part quality, specifically the presence of internai defects and part-to-part consistency. Sorne of the defects observed in finished parts have been associated with porosities in the powder feedstock used in AM processes including powder bed, laser cladding,and cold spray. Since the level of porosity in these powders is generally very low, standard characterization techniques, such as pycnometry and metallography with image analysis, are not well suited for quantification. This study presents a new approach combining high resolution X­ ray tomography with 3D image analysis to evaluate and quantify porosity in titanium powder feedstock. The effects of acquisition parameters and image analysis procedures on porosity quantification were investigated to validate the proposed method and assess its reliability. Data demonstrates that the proposed technique is sufficiently sensitive to differentiate powders with different porosity levels.
Publication date
AffiliationAutomotive and Surface Transportation; National Research Council Canada
In pressYes
Peer reviewedYes
NPARC number23000757
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Record identifier485f564f-02ba-4ff8-81fb-8ff44941c4d2
Record created2016-09-12
Record modified2016-09-12
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