Investigation of pore structure in cobalt chrome additively manufactured parts using X-ray computed tomography and three dimensional image analysis

Published

July 15, 2017

Author(s)

Felix Kim, Edward Garboczi, Shawn P. Moylan, John Slotwinski

Abstract

Pore structures of additively manufactured metal parts were investigated with X-ray Computed Tomography (XCT). Disks made of a cobalt-chrome alloy were produced using laser-based powder bed fusion (PBF) processes. The additive manufacturing processing parameters (scan speed and hatch spacing) were varied in order to have porosities varying from 0.1 % to 70 % so as to see the effects of processing parameters on the formation of pores and cracks. The XCT images directly show three- dimensional (3D) pore structure, along with cracks. Qualitative visualization is useful; however, quantitative results depend on accurately segmenting the XCT images. Methods of segmentation and image analysis were carefully developed based, as much as possible, on aspects of the images themselves. These enabled quantitative measures of porosity, including how porosity varies in and across the build direction, pore size distribution, how pore structure varies between parts with similar porosity levels but different processing parameters, pore shape, and particle size distribution of un-melted powder trapped in pores. These methods could possibly serve as the basis for standard segmentation and image analysis methods for metallic additively manufactured parts, enabling accurate and reliable defect detection and quantitative measures of pore structure, which are critical aspects of qualification and certification.

Citation

Additive Manufacturing

Volume

17

Pub Type

Journals

Download Paper

https://doi.org/10.1016/j.addma.2017.06.011

Local Download

Citation

Kim, F. , Garboczi, E. , Moylan, S. and Slotwinski, J. (2017), Investigation of pore structure in cobalt chrome additively manufactured parts using X-ray computed tomography and three dimensional image analysis, Additive Manufacturing, [online], https://doi.org/10.1016/j.addma.2017.06.011, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=922017 (Accessed November 27, 2025)