Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/12269
Title: Spreadability of metal powders for laser-powder bed fusion via simple image processing steps
Authors: Ahmetoğlu, Çekdar Vakıf
Hasdemir, Beyza
Biasetto, Lisa
Izmir Institute of Technology
Izmir Institute of Technology
Universita degli Studi di Padova
Keywords: Gas atomization
Illumination invariant
Metal additive manufacturing
Powder bed fusion
Issue Date: Jan-2022
Publisher: MDPI
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 dependence with the other characteristics such as powder size distribution, 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. A clear relation between powder spreadability and 3D printed structures properties in terms of residual porosity could not be defined since structural defects in 3D printed parts also depends on other processing parameters such as spatter formation or powder size over layer height ratio.
URI: https://doi.org/10.3390/ma15010205
https://hdl.handle.net/11147/12269
Appears in Collections:Materials Science and Engineering / Malzeme Bilimi ve Mühendisliği
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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