Abstract
X-ray computed tomography (XCT) is a promising nondestructive evaluation technique for additive manufacturing (AM) parts with complex shapes. Industrial XCT scanning is a relatively new development, and XCT has several acquisition parameters that a user can change for a scan whose effects are not fully understood. An artifact incorporating simulated defects of different sizes was produced using laser powder bed fusion (LPBF) AM. The influence of six XCT acquisition parameters was investigated experimentally based on a fractional factorial designed experiment. Twenty experimental runs were performed. The noise level of the XCT images was affected by the acquisition parameters, and the importance of the acquisition parameters was ranked. The measurement results were further analyzed to understand the probability of detection (POD) of the simulated defects. The POD determination process is detailed, including estimation of the POD confidence limit curve using a bootstrap method. The results are interpreted in the context of the AM process and XCT acquisition parameters.
References
1.
Kim
, F. H.
, and Moylan
, S. P.
, 2018
, Literature Review of Metal Additive Manufacturing Defects
, National Institute of Standards and Technology
, Gaithersburg, MD
.2.
Ng
, G. K. L.
, Jarfors
, A. E. W.
, Bi
, G.
, and Zheng
, H. Y.
, 2009
, “Porosity Formation and Gas Bubble Retention in Laser Metal Deposition
,” Appl. Phys. A
, 97
(3
), pp. 641
–649
. 10.1007/s00339-009-5266-33.
Ahsan
, M. N.
, Bradley
, R.
, and Pinkerton
, A. J.
, 2011
, “Microcomputed Tomography Analysis of Intralayer Porosity Generation in Laser Direct Metal Deposition and Its Causes
,” J. Laser Appl.
, 23
(2
), p. 022009
. 10.2351/1.35823114.
Vandenbroucke
, B.
, and Kruth
, J. P.
, 2007
, “Selective Laser Melting of Biocompatible Metals for Rapid Manufacturing of Medical Parts
,” Rapid Prototyp. J.
, 13
(4
), pp. 196
–203
. 10.1108/135525407107761425.
Yadroitsev
, I.
, Thivillon
, L.
, Bertrand
, P.
, and Smurov
, I.
, 2007
, “Strategy of Manufacturing Components With Designed Internal Structure by Selective Laser Melting of Metallic Powder
,” Appl. Surf. Sci.
, 254
(4
), pp. 980
–983
. 10.1016/j.apsusc.2007.08.0466.
Kim
, F. H.
, Moylan
, S. P.
, Garboczi
, E. J.
, and Slotwinski
, J. A.
, 2017
, “Investigation of Pore Structure in Cobalt Chrome Additively Manufactured Parts Using X-Ray Computed Tomography and Three-Dimensional Image Analysis
,” Addit. Manuf.
, 17
, pp. 23
–38
. 10.1016/j.addma.2017.06.0117.
Hrabe
, N.
, Barbosa
, N.
, Daniewicz
, S.
, and Shamsaei
, N.
, 2016
, Findings From the NIST/ASTM Workshop on Mechanical Behavior of Additive Manufacturing Components
, National Institute of Standards and Technology
, Gaithersburg, MD
.8.
Todorov
, E.
, Spencer
, R.
, Gleeson
, S.
, Jamshidinia
, M.
, and Kelly
, S. M.
, 2014
, America Makes: National Additive Manufacturing Innovation Institute (NAMII) Project 1: Nondestructive Evaluation (NDE) of Complex Metallic Additive Manufactured (AM) Structures
, Air Force Research Laboratory, OH
.9.
Hermanek
, P.
, and Carmignato
, S.
, 2017
, “Porosity Measurements by X-Ray Computed Tomography: Accuracy Evaluation Using a Calibrated Object
,” Precis. Eng.
, 49
, pp. 377
–387
. 10.1016/j.precisioneng.2017.03.00710.
Müller
, P.
, Hiller
, J.
, Cantore
, A.
, Bartscher
, M.
, and De Chiffre
, L.
, 2012
, “Investigation on the Influence of Image Quality in X-Ray CT Metrology
,” Conference on Industrial Computed Tomography
, Wels, Austria
, Sept. 19–21
.11.
Department of Defense
, 2009
, Nondestructive Evaluation System Reliability Assessment
, Department of Defense
.12.
EOS GmbH—Electro Optical Systems
, 2009
, EOS StainlessSteel GP1 for EOSINT M 270.13.
Slotwinski
, J. A.
, Garboczi
, E. J.
, Stutzman
, P. E.
, Ferraris
, C. F.
, Watson
, S. S.
, and Peltz
, M. A.
, 2014
, “Characterization of Metal Powders Used for Additive Manufacturing
,” J. Res. Natl. Inst. Stand. Technol.
, 119
, pp. 460
–493
. 10.6028/jres.119.01814.
Kim
, F. H.
, Villarraga-Gómez
, H.
, and Moylan
, S. P.
, 2016
, “Inspection of Embedded Internal Features in Additively Manufactured Metal Parts Using Metrological X-Ray Computed Tomography
,” ASPE/Euspen 2016 Summer Topical Meeting Dimensional Accuracy and Surface Finish in Additive Manufacturing
, Raleigh, NC
, June 27–30
, pp. 191
–195
.15.
Box
, G. E. P.
, Hunter
, J. S.
, and Hunter
, W. G.
, 2005
, Statistics for Experimenters
, Wiley-Interscience
.16.
Flynn
, M. J.
, Hames
, S. M.
, Reimann
, D. A.
, and Wilderman
, S. J.
, 1994
, “Microfocus X-Ray Sources for 3D Microtomography
,” Nucl. Instrum. Methods Phys. Res. Sect. A
, 353
(1
), pp. 312
–315
. 10.1016/0168-9002(94)91664-017.
Hernandez
, A. M.
, and Boone
, J. M.
, 2014
, “Tungsten Anode Spectral Model Using Interpolating Cubic Splines: Unfiltered X-Ray Spectra From 20 kV to 640 kV
,” Med. Phys.
, 41
(4
), p. 042101
. 10.1118/1.486621618.
van Aarle
, W.
, Palenstijn
, W. J.
, Cant
, J.
, Janssens
, E.
, Bleichrodt
, F.
, Dabravolski
, A.
, De Beenhouwer
, J.
, Joost Batenburg
, K.
, and Sijbers
, J.
, 2016
, “Fast and Flexible X-Ray Tomography Using the ASTRA Toolbox
,” Opt. Express
, 24
(22
), pp. 25129
–25147
. 10.1364/OE.24.02512919.
van Aarle
, W.
, Palenstijn
, W. J.
, De Beenhouwer
, J.
, Altantzis
, T.
, Bals
, S.
, Batenburg
, K. J.
, and Sijbers
, J.
, 2015
, “The ASTRA Toolbox: A Platform for Advanced Algorithm Development in Electron Tomography
,” Ultramicroscopy
, 157
(Oct.
), pp. 35
–47
. 10.1016/j.ultramic.2015.05.00220.
Goldman
, L. W.
, 2007
, “Principles of CT: Radiation Dose and Image Quality
,” J. Nucl. Med. Technol.
, 35
(4
), pp. 213
–225
. 10.2967/jnmt.106.03784621.
ThermoFisher Scientific
, 2018
, Avizo 9.5.0.22.
Kim
, F. H.
, Penumadu
, D.
, Gregor
, J.
, Marsh
, M.
, Kardjilov
, N.
, and Manke
, I.
, 2015
, “Characterizing Partially Saturated Compacted-Sand Specimen Using 3D Image Registration of High-Resolution Neutron and X-Ray Tomography
,” J. Comput. Civ. Eng.
, 29
(6
), p. 04014096
. 10.1061/(ASCE)CP.1943-5487.000042423.
Pluim
, J. P. W.
, Maintz
, J. B. A.
, and Viergever
, M. A.
, 2003
, “Mutual-Information-Based Registration of Medical Images: A Survey
,” IEEE Trans. Med. Imaging
, 22
(8
), pp. 986
–1004
. 10.1109/TMI.2003.81586724.
Brown
, L. G.
, 1992
, “A Survey of Image Registration Techniques
,” ACM Comput. Surv.
, 24
(4
), pp. 325
–376
. 10.1145/146370.14637425.
Maintz
, J. B. A.
, and Viergever
, M. A.
, 1998
, “A Survey of Medical Image Registration
,” Med. Image Anal.
, 2
(1
), pp. 1
–36
. 10.1016/S1361-8415(98)80001-726.
Tibshirani
, R.
, 1996
, “Regression Shrinkage and Selection via the Lasso
,” J. R. Stat. Soc. Ser. B (Methodological)
, 58
(1
), pp. 267
–288
. 10.1111/j.2517-6161.1996.tb02080.x27.
Friedman
, J.
, Hastie
, T.
, and Tibshirani
, R.
, 2010
, “Regularization Paths for Generalized Linear Models Via Coordinate Descent
,” J. Stat. Software
, 33
(1
), pp. 1
–22
. 10.18637/jss.v033.i0128.
R Core Team
, 2017
, A Language and Environment for Statistical Computing
, R Foundation for Statistical Computing
, Vienna, Austria
.29.
Jang
, D. H.
, and Anderson-Cook
, C. M.
, 2017
, “Examining Robustness of Model Selection With Half-Normal and LASSO Plots for Unreplicated Factorial Designs
,” Qual. Reliab. Eng. Int.
, 33
(8
), pp. 1921
–1928
. 10.1002/qre.215630.
Otsu
, N.
, 1979
, “A Threshold Selection Method From Gray-Level Histograms
,” IEEE Trans. Syst. Man Cybern.
, 9
(1
), pp. 62
–66
. 10.1109/TSMC.1979.431007631.
Berens
, A. P.
, 1989
, NDE Reliability Data Analysis—Metals Handbook
, ASM International
, OH
.32.
33.
Reinhart
, C.
, 2008
, “Industrial Computer Tomography—A Universal Inspection Tool
,” 17th World Conference on Nondestructive Testing
, Shanghai, China
, Oct. 25–28
.34.
JGGM 200
, 2012
, International Vocabulary of Metrology–Basic and General Concepts and Associated Terms (VIM)
, 3rd ed.35.
Müller
, C.
, Elaguine
, M.
, Bellon
, C.
, Ewert
, U.
, Zscherpel
, U.
, Scharmach
, M.
, and Redmer
, B.
, 2006
, “POD Evaluation of NDT Techniques for CU-Canisters for Risk Assessment of Nuclear Waste Encapsulation
,” 5th International Conference on NDE in Relation to Structural Intergrity for Nuclear and Pressurized Components
, Berlin, Germany
, May 10–12
.36.
Egan
, J. P.
, 1975
, Signal Detection Theory and ROC Analysis
, Academic Press
, New York
.37.
Metz
, C. E.
, 1978
, “Basic Principles of ROC Analysis
,” Semin. Nucl. Med.
, 8
(4
), pp. 283
–298
. 10.1016/S0001-2998(78)80014-238.
Fawcett
, T.
, 2006
, “An Introduction to ROC Analysis
,” Pattern Recognit. Lett.
, 27
(8
), pp. 861
–874
. 10.1016/j.patrec.2005.10.01039.
Nyquist
, H.
, 1928
, “Certain Topics in Telegraph Transmission Theory
,” Trans. Am. Inst. Electr. Eng.
, 47
(2
), pp. 617
–644
. 10.1109/T-AIEE.1928.505502440.
Fuller
, W. A.
, 2009
, Measurement Error Models
, John Wiley & Sons
, New York
.41.
Efron
, B.
, and Tibshirani
, R. J.
, 1993
, An Introduction to the Bootstrap
, Chapman and Hall/CRC
, London
.42.
Gregor
, J.
, and Benson
, T.
, 2008
, “Computational Analysis and Improvement of SIRT
,” IEEE Trans. Med. Imaging
, 27
(7
), pp. 918
–924
. 10.1109/TMI.2008.92369643.
Gregor
, J.
, and Fessler
, J. A.
, 2015
, “Comparison of SIRT and SQS for Regularized Weighted Least Squares Image Reconstruction
,” IEEE Trans. Comput. Imaging
, 1
(1
), pp. 44
–55
. 10.1109/TCI.2015.244251144.
Gregor
, J.
, Bingham
, P.
, and Arrowood
, L. F.
, 2016
, “Total Variation Constrained Weighted Least Squares Using SIRT and Proximal Mappings
,” 4th International Conference on Image Formation in X-Ray Computed Tomography
, Bamberg, Germany
, July 18–22
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