X-Ray Computed Tomography Study of the Effects of Scanning Parameters on the Hounsfield Unit Values of Five Metal Alloys
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OpenAlex topics: Non-Destructive Testing Techniques · Advanced X-ray and CT Imaging · Welding Techniques and Residual Stresses
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References (30)
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1. Yılmaz, A.H., Tekin, I., Birgül, R.: Determining Hounsfield Unit values of mortar constituents by computerized tomography. Measurement 43, 410–414 (2010). https://doi.org/10.1016/j.measurement.2009.12.01010.1016/j.measurement.2009.12.010 ↗
2. Liu, L.Y., Yang, Q.S., Zhang, Y.X.: Plastic damage of additive manufactured aluminium with void defects. Mech. Res. Commun. 95, 45 (2019). https://doi.org/10.1016/j.mechrescom.2018.12.00210.1016/j.mechrescom.2018.12.002 ↗
3. Sui, T., Salvati, E., Zhang, H., Nyaza, K., Senatov, F.S., Salimon, A.I., Korsunsky, A.M.: Probing the complex thermo-mechanical properties of a 3D-printed polylactide-hydroxyapatite composite using in situ synchrotron X-ray scattering. J. Adv. Res. 16, 113 (2019). https://doi.org/10.1016/j.jare.2018.11.00210.1016/j.jare.2018.11.002 ↗
4. Vavrik, D., Jakubek, J., Kumpova, I., Pichotka, M.: Dual energy CT inspection of a carbon fibre reinforced plastic composite combined with metal components. Case Stud. Nondestruct. Test. Eval. 6B, 47 (2016). https://doi.org/10.1016/j.csndt.2016.05.00110.1016/j.csndt.2016.05.001 ↗
5. Saravanan, T., Lahiri, B.B., Arunmuthu, K., Bagavathiappan, S., Sekhar, A.S., Pillai, V.P.M., Philip, J., Rao, B.P.C., Jayakumar, T.: Non-destructive evaluation of friction stir welded joints by X-ray radiography and infrared thermography. Procedia Eng. 86, 469 (2014). https://doi.org/10.1016/j.proeng.2014.11.06010.1016/j.proeng.2014.11.060 ↗
6. Maire, E., Withers, P.J.: Quantitative X-ray tomography. Int. Mater. Rev. 59, 1 (2014). https://doi.org/10.1179/1743280413Y.000000002310.1179/1743280413Y.0000000023 ↗
7. Galos, J., Ghaffari, B., Hetrick, E.T., Jones, M.H., Benoit, M.J., Wood, T., Sanders, P.G., Easton, M.A., Mouritz, A.P.: Novel non-destructive technique for detecting the weld fusion zone using a filler wire of high x-ray contrast. NDT E Int. 124, 102537 (2021). https://doi.org/10.1016/j.ndteint.2021.10253710.1016/j.ndteint.2021.102537 ↗
8. Du Plessis, A., Yadroitsava, I., Le Roux, S.G., Yadroitsev, I., Fieres, J., Reinhart, C., Rossouw, P.: Prediction of mechanical performance of Ti6Al4V cast alloy based on microCT-based load simulation. J. Alloys Compd. 724, 267 (2017). https://doi.org/10.1016/j.jallcom.2017.06.32010.1016/j.jallcom.2017.06.320 ↗
9. Patel, D.K., Waas, A.M., Yen, C.-F.: Direct numerical simulation of 3D woven textile composites subjected to tensile loading: an experimentally validated multiscale approach. Compos. Part B-Eng. 152, 102 (2018). https://doi.org/10.1016/j.compositesb.2018.06.01210.1016/j.compositesb.2018.06.012 ↗
10. Zhang, A., Li, C., Dai, W., Liu, Y., Tian, S., Huang, W., Jia, D., He, D., Zhang, Y.: Static compression testing CFRP single-lap composited joints using X-ray μCT. Compos. Struct. 234, 111667 (2020). https://doi.org/10.1016/j.compstruct.2019.11166710.1016/j.compstruct.2019.111667 ↗
11. Hamade, R.F., Baydoun, A.M.R.: Nondestructive detection of defects in friction stir welded lap joints using computed tomography. Mater. Des. 162, 10 (2019). https://doi.org/10.1016/j.matdes.2018.11.03410.1016/j.matdes.2018.11.034 ↗
12. Hamade, R.F., Baydoun, A.M.R.: A study of the effect of extended hounsfield unit range and voxel size, on defect detection in friction stir welds. In: Proceedings of the ASME. IMECE2020, Vol. 2A: Advanced Manufacturing. Nov 16–19. https://doi.org/10.1115/IMECE2020-23274 (2020)10.1115/IMECE2020-23274 ↗
13. Schneider, J., Beshears, R., Nunes, A.C.: Interfacial sticking and slipping in the friction stir welding process. Mater. Sci. Eng.: A 435, 297 (2006). https://doi.org/10.1016/j.msea.2006.07.08210.1016/j.msea.2006.07.082 ↗
14. Rossi, E., Polder, R., Copuroglu, O., Nijland, T., Savija, B.: The influence of defects at the steel/concrete interface for chloride-induced pitting corrosion of naturally-deteriorated 20-years-old specimens studied through X-ray computed tomography. Constr. Build. Mater. 235, 117474 (2020). https://doi.org/10.1016/j.conbuildmat.2019.11747410.1016/j.conbuildmat.2019.117474 ↗
15. Dong, B., Fang, G., Liu, P., Dong, J., Zhang, J., Xing, F., Hong, S.: Monitoring reinforcement corrosion and corrosion-induced cracking by X-ray microcomputed tomography method. Cement Concr. Res. 100, 311 (2017). https://doi.org/10.1016/j.cemconres.2017.07.00910.1016/j.cemconres.2017.07.009 ↗
16. Sarkar, S., Wahi, P., Munshi, P.: An empirical correction method for beam-hardening artifact in Computerized Tomography (CT) images. NDT E Int. 102, 104 (2019). https://doi.org/10.1016/j.ndteint.2018.11.00910.1016/j.ndteint.2018.11.009 ↗
17. Brook, R.A.: A quantitative theory of the hounsfield unit and its application to dual energy scanning. J. Comput. Assist. Tomogr. 4, 487 (1977). https://doi.org/10.1097/00004728-197710000-0001610.1097/00004728-197710000-00016 ↗
18. Gascho, D.: Lodged bullets on computed tomography: three classification procedures for the virtual investigation of bullets or their fragments that cannot be recovered from the living patient. Med. Sci. Law 60, 245 (2020). https://doi.org/10.1177/002580242096269710.1177/0025802420962697 ↗
19. Gao, L., Sun, H., Ni, X., Fang, M., Lin, T.: Effects of 16-bit CT imaging scanning conditions for metal implants on radiotherapy dose distribution. Oncol. Lett. 15, 2373 (2018). https://doi.org/10.3892/ol.2017.758610.3892/ol.2017.7586 ↗
20. Xin-Ye, N., Liugang, G., Mingming, F., Tao, L.: Application of metal implant 16-bit imaging: new technique in radiotherapy. Technol. Cancer Res. Treat. 16, 188 (2016). https://doi.org/10.1177/153303461664953010.1177/1533034616649530 ↗
21. Jackson, D.F., Hawkes, D.J.: X-ray attenuation coefficients of elements and mixtures. Phys. Rep. 70, 169 (1981). https://doi.org/10.1016/0370-1573(81)90014-410.1016/0370-1573(81)90014-4 ↗
22. Mahesh, M.: The essential physics of medical imaging. Med. Phys. 40(7), 077301 (2013). https://doi.org/10.1118/1.481115610.1118/1.4811156 ↗
23. Duan, X., Wang, J., Leng, S., Schmidt, B., Allmendinger, T., Grant, K., Flohr, T., McCollough, C.H.: Electronic noise in CT detectors: impact on image noise and artifacts. AJR Am. J. Roentgenol. 201(4), 626 (2013). https://doi.org/10.2214/AJR.12.1023410.2214/AJR.12.10234 ↗
24. Gascho, D., Zoelch, N., Richter, H., Buehlmann, A., Wyss, P., Schaerli, S.: Identification of bullets based on their metallic components and X-ray attenuation characteristics at different energy levels on CT. AJR Am. J. Roentgenol. 213(3), 105 (2019). https://doi.org/10.2214/AJR.19.2122910.2214/AJR.19.21229 ↗
25. Hubbell, J., Seltzer, S.: Tables of X-ray mass attenuation coefficients and mass energy-absorption coefficients 1 keV to 20 MeV for elements Z = 1 to 92 and 48 additional substances of dosimetric interest, http://physics.nist.gov/PhysRefData/XrayMassCoef/cover.html (1995)10.6028/NIST.IR.5632 ↗
26. Bolliger, S.A., Oesterhelweg, L., Spendlove, D., Ross, S., Thali, M.J.: Is differentiation of frequently encountered foreign bodies in corpses possible by hounsfield density measurement? J. Forensic Sci. 54, 1119 (2009). https://doi.org/10.1111/j.1556-4029.2009.01100.x10.1111/j.1556-4029.2009.01100.x ↗
27. Mah, P., Reeves, T.E., McDavid, W.D.: Deriving Hounsfield units using grey levels in cone beam computed tomography. Dentomaxillofac Radiol. 39, 323 (2010). https://doi.org/10.1259/dmfr/1960330410.1259/dmfr/19603304 ↗
28. Coolens, C., Childs, P.J.: Calibration of CT Hounsfield units for radiotherapy treatment planning of patients with metallic hip prostheses: The use of the extended CT-scale. Phys. Med. Biol. 48, 1591 (2003). https://doi.org/10.1088/0031-9155/48/11/30810.1088/0031-9155/48/11/308 ↗
29. Glide-Hurst, C., Chen, D., Zhong, H., Chetty, I.J.: Changes realized from extended bit-depth and metal artifact reduction in CT. Med. Phys. 40, 061711 (2013). https://doi.org/10.1118/1.480510210.1118/1.4805102 ↗
30. Gascho, D., Zoelch, N., Richter, H., et al.: Heavy metal in radiology: how to reliably differentiate between lodged copper and lead bullets using CT numbers. Eur. Radiol. Exp. 4, 43 (2020). https://doi.org/10.1186/s41747-020-00168-z10.1186/s41747-020-00168-z ↗