Systematic errors in digital volume correlation due to the self-heating effect of a laboratory x-ray CT scanner
KAUST DepartmentComposite and Heterogeneous Material Analysis and Simulation Laboratory (COHMAS)
Mechanical Engineering Program
Physical Science and Engineering (PSE) Division
Online Publication Date2017-03-16
Print Publication Date2017-04-01
Permanent link to this recordhttp://hdl.handle.net/10754/623920
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AbstractThe use of digital volume correlation (DVC) in combination with a laboratory x-ray computed tomography (CT) for full-field internal 3D deformation measurement of opaque materials has flourished in recent years. During x-ray tomographic imaging, the heat generated by the x-ray tube changes the imaging geometry of x-ray scanner, and further introduces noticeable errors in DVC measurements. In this work, to provide practical guidance high-accuracy DVC measurement, the errors in displacements and strains measured by DVC due to the self-heating for effect of a commercially available x-ray scanner were experimentally investigated. The errors were characterized by performing simple rescan tests with different scan durations. The results indicate that the maximum strain errors associated with the self-heating of the x-ray scanner exceed 400 µε. Possible approaches for minimizing or correcting these displacement and strain errors are discussed. Finally, a series of translation and uniaxial compression tests were performed, in which strain errors were detected and then removed using pre-established artificial dilatational strain-time curve. Experimental results demonstrate the efficacy and accuracy of the proposed strain error correction approach.
CitationWang B, Pan B, Tao R, Lubineau G (2017) Systematic errors in digital volume correlation due to the self-heating effect of a laboratory x-ray CT scanner. Measurement Science and Technology 28: 055402. Available: http://dx.doi.org/10.1088/1361-6501/aa60ad.
SponsorsThis work is supported by the National Natural Science Foundation of China (Grant nos. 11272032, 11322220, 11427802 and 11632010), the Aeronautical Science Foundation of China (2016ZD51034), Beijing Nova Program (xx2014B034). We also thank King Abdullah University of Science and Technology (KAUST) for its support.