Additive manufacturing powder feedstock characterization using X-ray tomography

被引：20
作者：
Bernier F. [1 ]
Tahara R. [2 ]
Gendron M. [3 ]
机构：
[1] National Research Council Canada, Boucherville, J4B 6Y4, QC
来源：
Bernier, Fabrice (Fabrice.Bernier@cnrc-nrc.gc.ca) | 2018年 / Elsevier Ltd卷 / 73期
基金：
加拿大创新基金会;
关键词：
3D printers - Image analysis - Imaging systems - Testing - Quality control - Tomography - Additives - Feedstocks - Particle size analysis;
D O I：
10.1016/j.mprp.2018.01.002
中图分类号：
学科分类号：
摘要：
To answer the need for efficient quality control protocols for additive manufacturing processes and materials, specific testing methods for powder feedstocks should be developed. A powder feedstock may contain some defects, such as porosities, that will remain in the final parts after the building process. X-ray tomography combined with 3D image analysis offers unique advantages over other characterization methods, such as pycnometry and metallography, in respect to quantifying internal porosity in the individual particles of the feedstock. This paper presents the effect of X-ray tomography parameters on the quality of the obtained images and its impact on the image analysis. An automated image analysis routine was also developed to allow the visualization of the pores inside the particles but also, more importantly, to quantify this internal porosity contents, as well as to provide information on the morphological features of these pores, such a size distribution, number of particles containing pores and the volume fraction of a pore inside a particle. © 2018
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页码：158 / 162
页数：4
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