Article Article
Industrial Computed Tomography Technique Development for Industrial Volumetric X-Ray CT

It is often stated that no two engineers will set up an industrial X-ray computed tomography (CT) scan with the same parameters. In this article, an orderly set of steps is presented that will lead to an acceptable CT scan result for typical cone beam (volumetric) systems with application to denser and/or larger objects. This approach can be applied when using minifocus, mesofocus, and microfocus X-ray tubes. The strategy covers preparation and general considerations, selection of the proper tube and detector, methods to determine the proper magnification, setting X-ray tube and detector parameters, considerations to achieve good image quality, and common mistakes to avoid.

DOI: https://doi.org/10.32548/2022.me-04291

References

American Machinist, 2021, “Updated CT Software Finds Design Flaws, Manufacturability Issues,” American Machinist, https://www.americanmachinist.com/new-products/ media-gallery/21164063/updated-ct-software-locatesdesign-flaws-and-manufacturability-volume-graphics.

ASTM, 2010, ASTM E2737–10: Standard Practice for Digital Detector Array Performance Evaluation and Long-Term Stability, ASTM International, West Conshohocken, PA.

ASTM, 2015, ASTM E2002–15: Standard Practice for Determining

Total Image Unsharpness and Basic Spatial Resolution in Radiography and Radioscopy, ASTM International, West Conshohocken, PA.

ASTM, 2016, ASTM E1000–16: Standard Guide for Radioscopy, ASTM International, West Conshohocken, PA.

ASTM, 2017, ASTM E2736–17: Standard Guide for Digital Detector Array Radiography, ASTM International, West Conshohocken, PA.

ASTM, 2018, ASTM E2698–18: Standard Practice for Radiographic Examination Using Digital Detector Arrays, ASTM International, West Conshohocken, PA.

Carmignato, Simone, Wim Dewulf, and Richard Leach, eds. 2018, Industrial X-ray Computed Tomography, Springer Cham., https://doi.org/10.1007/978-3-319-59573-3

De Samber, B., J. Renders, T. Elberfeld, J. Sanctorum, N. Six, Z. Liang, J. De Beenhouwer, and J. Sijbers, 2021, “FLeXCT: a Flexible X-ray CT scanner with 10 degrees of freedom,” Optics Express, Vol. 29, No. 3, https://doi.org/10.1364/OE.409982.

Kak, A.C., and Malcolm Slaney, 2001, Principles of Computerized Tomographic Imaging, Society of Industrial and Applied Mathematics, Philadelphia, PA.

Kraai, Brad, 2016, “Digital Radiography in Industry: Digital Detector Arrays in Radiographic Testing,” The NDT Technician, Vol. 15, No. 3, pp. 1-6.

Krenkel, M., M. Erler, S. Tzoumas, and C. Kuhn, C., 2020, “X-ray Scatter Removal for Artifact Free CT Imaging,” 10th Conference on Industrial Computed Tomography, Wels, Austria (iCT 2020), ict-conference.com/2020.

Roth, D., 2016, “Industrial X-ray Volumetric Computed Tomography,” Materials Evaluation, Vol. 74, No. 7, pp. 974-983.

Roth, D., 2020, “Using Experiment and Simulation to Understand the Effects of Source Filtering on Artifact Reduction for Industrial X-ray Computed Tomography,” Materials Evaluation, Vol. 78, No. 2, pp. 203–212, https://doi.org/10.32548/2020.me-04116.

Schneberk, Daniel, Robert Maziuk, Boris Soyfer, N. Shashishekhar, and Rahul Alreja, 2016, “Application of offset-CT scanning to the inspection of high power feeder lines and connections,” AIP Conference Proceedings 1706, 110002, https://doi.org/10.1063/1.4940573.

Shovkun, V. Ya., M.A. Kumakhov, I.V. Pirshin, and V.D. Gelever, 2005, “Investigation of micro-focus x-ray tube for radiography”, Proc. SPIE 5943, X-ray and Neutron Capillary Optics II59430Z (6 December 2006); https://doi.org/10.1117/12.637997.

Sun, W., S.B. Brown, and R.K. Leach, 2012, “An overview of industrial X-ray computed tomography,” NPL Report ENG 32, January 2012.

Villarraga-G.mez, H., E.L. Herazo, and S.T. Smith, 2019, “X-ray computed tomography: From medical imaging to dimensional metrology,” Precision Engineering, Vol. 60 (Nov), pp. 544–569, https://doi.org/10.1016/j.precisioneng.2019.06.007.

Villarraga-G.mez, H., N. Kotwal, R. Parwani, D. Wei., M. Krenkel, W. Kimmig, and C. Graf Vom Hagen, 2022, “Improving the dimensional accuracy of 3D X-ray microscopy data,” Meas. Sci. Technol., Vol. 33, No. 7, 074002, https://iopscience.iop.org/article/10.1088/1361-6501/ac5a30.

Metrics
Usage Shares
Total Views
74 Page Views
Total Shares
0 Tweets
74
0 PDF Downloads
0
0 Facebook Shares
Total Usage
74