2013
DOI: 10.1016/j.ijfatigue.2012.06.009
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Understanding fatigue crack growth in aluminum alloys by in situ X-ray synchrotron tomography

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Cited by 77 publications
(30 citation statements)
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“…The fatigue crack growth rates obtained from these experiments [12,15] were comparable to published data by others [21]. The errors in the ΔK (stress intensity factor range) measurements were up to a maximum of only 7% due to error in measurement of force.…”
Section: Tensile and Fatigue Behaviorsupporting
confidence: 85%
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“…The fatigue crack growth rates obtained from these experiments [12,15] were comparable to published data by others [21]. The errors in the ΔK (stress intensity factor range) measurements were up to a maximum of only 7% due to error in measurement of force.…”
Section: Tensile and Fatigue Behaviorsupporting
confidence: 85%
“…Using the second loading stage shown in Figure 3, in situ fatigue crack growth tomography was performed on AA7075-T651 samples [12,13]. The fatigue crack growth rates obtained from these experiments [12,15] were comparable to published data by others [21].…”
Section: Tensile and Fatigue Behaviorsupporting
confidence: 77%
See 1 more Smart Citation
“…[27][28][29] Thus, three-dimensional (3D) characterization of both the structure and the damage processes is essential and of great value. 30,31 The purpose of this work was to characterize creep crack growth by use of x-ray computer tomography (XCT), a non-destructive technique for detection of damage. Observation of creep crack growth is expected to promote better understanding of the mechanism of fracture of nano-silver sintered joints.…”
Section: Introductionmentioning
confidence: 99%
“…Alternatively, different subsequent scans can be performed in order to obtain the subsets, assuming the object remained unchanged during each scan. Examples of this technique can be found in non-destructive material tests [10], soil structure and water retention studies [11] or observations of root growth [12]. Reconstruction quality of standard subset-reconstruction techniques can be improved by enforcing similarity among the subsets with regularization strategies [13].…”
mentioning
confidence: 99%