2016
DOI: 10.1016/j.msea.2016.10.017
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Image-based numerical simulation of the local cyclic deformation behavior around cast pore in steel

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Cited by 4 publications
(2 citation statements)
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“…3D characterisation of carbides and pores thus provides a more accurate investigation of the role and effect of carbides and pores in fatigue crack initiation. Based on the 3D characterisation of carbides and pores, image-based FE modelling can be conducted to simulate the stress and strain response of the carbides/pores-containing specimens upon monotonic or cyclic loading, and to assist understanding and prediction of the failure processes related to the pores and carbides [23,24,47]. As shown in this study, by combining the experimental study with image-based modelling (Figs.…”
Section: Discussionmentioning
confidence: 99%
“…3D characterisation of carbides and pores thus provides a more accurate investigation of the role and effect of carbides and pores in fatigue crack initiation. Based on the 3D characterisation of carbides and pores, image-based FE modelling can be conducted to simulate the stress and strain response of the carbides/pores-containing specimens upon monotonic or cyclic loading, and to assist understanding and prediction of the failure processes related to the pores and carbides [23,24,47]. As shown in this study, by combining the experimental study with image-based modelling (Figs.…”
Section: Discussionmentioning
confidence: 99%
“…It has been validated that inherent defects such as an individual large-sized pore, multiple linked pores, and clustered pores near the surface will induce severe stress concentration as fatigue cracking sites in casting alloys, AMed parts, and fusion welds. 9,12,24,41,42 This study also attempts to explore the fatigue cracking behavior of hybrid laser welded joints based on in situ fatigue loaded SR-μCT, as illustrated in Figure 8. As it clearly shows, the size and location of porosity play a crucial role in the crack initiation.…”
Section: Fatigue Cracking Due To Poresmentioning
confidence: 99%