Spreadability of Metal Powders for Laser-Powder Bed Fusion via Simple Image Processing Steps

06 August 2021, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

This paper investigates the spreadability of the spherical CoCrWMo powder for Laser- Powder Bed Fusion (PBF-LB) by using image processing algorithms coded in MATLAB. Besides, it also aims to examine the spreadability correlation with the other characteristics such as flow rate, apparent density, angle of repose. Powder blends in four different particle size distributions are prepared, characterized, and spreadability tests are performed with the PBF-LB. The results demonstrate that an increase in fine particle ratio by volume (below 10 µm) enhances the agglomeration and decreases the flowability, causing poor spreadability. These irregularities on the spread layers are quantified with simple illumination invariant analysis.

Keywords

additive manufacturing
spreadability
powder bed fusion
gas atomization
illumination invariant

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