Comparative Analysis of Internal Porosity in AM Ti64 Using X-Ray Computed Tomography and Mechanical Polishing Serial Sectioning
X-ray computed tomography (XCT) is a widely adopted nondestructive technique for characterizing internal porosity in additive manufactured (AM) components. However, the accuracy and precision of porosity characterization using XCT can be affected by factors, such as XCT system configuration and post...
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IEEE
2024-01-01
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Online Access: | https://ieeexplore.ieee.org/document/10713292/ |
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author | Bryce Jolley Christine Knott Daniel Sparkman Michael Uchic |
author_facet | Bryce Jolley Christine Knott Daniel Sparkman Michael Uchic |
author_sort | Bryce Jolley |
collection | DOAJ |
description | X-ray computed tomography (XCT) is a widely adopted nondestructive technique for characterizing internal porosity in additive manufactured (AM) components. However, the accuracy and precision of porosity characterization using XCT can be affected by factors, such as XCT system configuration and post-processing methodologies. This study investigates the influence of these variables on porosity characterization by comparing results obtained from four different XCT systems and two distinct analysis workflows applied to a single metallic AM sample. A benchmark is also established for the XCT performance by using a high-resolution reference dataset generated through mechanical polishing serial sectioning (MPSS). Porosity metrics, including volume fraction, pore count, size distribution, and equivalent spherical diameter (ESD), were computed for large pores (<inline-formula> <tex-math notation="LaTeX">$\ge 84~\mu $ </tex-math></inline-formula>m) within the XCT and MPSS datasets. By comparing these metrics across XCT systems and workflows, this research aims to demonstrate the variability introduced by different XCT configurations and analysis procedures, providing insights into the potential limitations and uncertainty considerations needed while carrying out XCT-based porosity characterization of AM components. |
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institution | Kabale University |
issn | 2768-7236 |
language | English |
publishDate | 2024-01-01 |
publisher | IEEE |
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series | IEEE Open Journal of Instrumentation and Measurement |
spelling | doaj-art-a38c269b3afe48c792422823f8e7fb202025-01-15T00:04:18ZengIEEEIEEE Open Journal of Instrumentation and Measurement2768-72362024-01-01311110.1109/OJIM.2024.347756910713292Comparative Analysis of Internal Porosity in AM Ti64 Using X-Ray Computed Tomography and Mechanical Polishing Serial SectioningBryce Jolley0https://orcid.org/0000-0002-4316-4684Christine Knott1https://orcid.org/0009-0007-3474-6520Daniel Sparkman2https://orcid.org/0009-0008-3519-6708Michael Uchic3https://orcid.org/0009-0000-2339-6915Air Force Research Laboratory, Composite, Ceramic, Metallic, & Materials Performance Division, Materials State Awareness Branch, Wright-Patterson AFB, OH, USAAir Force Research Laboratory, Composite, Ceramic, Metallic, & Materials Performance Division, Materials State Awareness Branch, Wright-Patterson AFB, OH, USAAir Force Research Laboratory, Composite, Ceramic, Metallic, & Materials Performance Division, Materials State Awareness Branch, Wright-Patterson AFB, OH, USAAir Force Research Laboratory, Composite, Ceramic, Metallic, & Materials Performance Division, Materials State Awareness Branch, Wright-Patterson AFB, OH, USAX-ray computed tomography (XCT) is a widely adopted nondestructive technique for characterizing internal porosity in additive manufactured (AM) components. However, the accuracy and precision of porosity characterization using XCT can be affected by factors, such as XCT system configuration and post-processing methodologies. This study investigates the influence of these variables on porosity characterization by comparing results obtained from four different XCT systems and two distinct analysis workflows applied to a single metallic AM sample. A benchmark is also established for the XCT performance by using a high-resolution reference dataset generated through mechanical polishing serial sectioning (MPSS). Porosity metrics, including volume fraction, pore count, size distribution, and equivalent spherical diameter (ESD), were computed for large pores (<inline-formula> <tex-math notation="LaTeX">$\ge 84~\mu $ </tex-math></inline-formula>m) within the XCT and MPSS datasets. By comparing these metrics across XCT systems and workflows, this research aims to demonstrate the variability introduced by different XCT configurations and analysis procedures, providing insights into the potential limitations and uncertainty considerations needed while carrying out XCT-based porosity characterization of AM components.https://ieeexplore.ieee.org/document/10713292/Additive manufacturing (AM)internal porositynondestructive evaluationserial sectioningX-ray computed tomography (XCT) |
spellingShingle | Bryce Jolley Christine Knott Daniel Sparkman Michael Uchic Comparative Analysis of Internal Porosity in AM Ti64 Using X-Ray Computed Tomography and Mechanical Polishing Serial Sectioning IEEE Open Journal of Instrumentation and Measurement Additive manufacturing (AM) internal porosity nondestructive evaluation serial sectioning X-ray computed tomography (XCT) |
title | Comparative Analysis of Internal Porosity in AM Ti64 Using X-Ray Computed Tomography and Mechanical Polishing Serial Sectioning |
title_full | Comparative Analysis of Internal Porosity in AM Ti64 Using X-Ray Computed Tomography and Mechanical Polishing Serial Sectioning |
title_fullStr | Comparative Analysis of Internal Porosity in AM Ti64 Using X-Ray Computed Tomography and Mechanical Polishing Serial Sectioning |
title_full_unstemmed | Comparative Analysis of Internal Porosity in AM Ti64 Using X-Ray Computed Tomography and Mechanical Polishing Serial Sectioning |
title_short | Comparative Analysis of Internal Porosity in AM Ti64 Using X-Ray Computed Tomography and Mechanical Polishing Serial Sectioning |
title_sort | comparative analysis of internal porosity in am ti64 using x ray computed tomography and mechanical polishing serial sectioning |
topic | Additive manufacturing (AM) internal porosity nondestructive evaluation serial sectioning X-ray computed tomography (XCT) |
url | https://ieeexplore.ieee.org/document/10713292/ |
work_keys_str_mv | AT brycejolley comparativeanalysisofinternalporosityinamti64usingxraycomputedtomographyandmechanicalpolishingserialsectioning AT christineknott comparativeanalysisofinternalporosityinamti64usingxraycomputedtomographyandmechanicalpolishingserialsectioning AT danielsparkman comparativeanalysisofinternalporosityinamti64usingxraycomputedtomographyandmechanicalpolishingserialsectioning AT michaeluchic comparativeanalysisofinternalporosityinamti64usingxraycomputedtomographyandmechanicalpolishingserialsectioning |