X-ray computed tomography for additive manufacturing: a review

Thompson, Adam, Maskery, Ian and Leach, Richard K. (2016) X-ray computed tomography for additive manufacturing: a review. Measurement Science and Technology, 27 (7). 072001/1-072001/17. ISSN 1361-6501

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In this review, the use of x-ray computed tomography (XCT) is examined, identifying the requirement for volumetric dimensional measurements in industrial verification of additively manufactured (AM) parts. The XCT technology and AM processes are summarised, and their historical use is documented. The use of XCT and AM as tools for medical reverse engineering is discussed, and the transition of XCT from a tool used solely for imaging to a vital metrological instrument is documented. The current states of the combined technologies are then examined in detail, separated into porosity measurements and general dimensional measurements. In the conclusions of this review, the limitation of resolution on improvement of porosity measurements and the lack of research regarding the measurement of surface texture are identified as the primary barriers to ongoing adoption of XCT in AM. The limitations of both AM and XCT regarding slow speeds and high costs, when compared to other manufacturing and measurement techniques, are also noted as general barriers to continued adoption of XCT and AM.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/796131
Additional Information: This is an author-created, un-copyedited version of an article accepted for publication in Measurement Science and Technology. The publisher is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at 10.1088/0957-0233/27/7/072001
Keywords: x-ray computed tomography, Additive manufacture, Metrology
Schools/Departments: University of Nottingham, UK > Faculty of Engineering
University of Nottingham, UK > Faculty of Engineering > Department of Mechanical, Materials and Manufacturing Engineering
Identification Number: https://doi.org/10.1088/0957-0233/27/7/072001
Depositing User: Thompson, Adam
Date Deposited: 08 Jun 2016 14:02
Last Modified: 04 May 2020 17:57
URI: https://eprints.nottingham.ac.uk/id/eprint/33856

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