Cavitation studies in materials: New insights from modern techniques in 2D/3D/4D characterisation

Gupta, Chandni; Toda, Hiroyuki; Mayr, P.; Sommitsch, Christof

doi:10.1179/0267083614z.000000000853

Cited by 2 publications

(1 citation statement)

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“…For this purpose the state of the art approach of quantitative tomography [31] is applied. Quantitative tomography uses high fidelity tomographic images for revealing the mechanistic underpinnings of damage development due to degradation phenomena and material microstructure based on correlative parameters [32,33]. The quantitative tomography analysis in this work is directed to reveal the importance of grain boundary and intermetallic particles that are known to act as prominent hydrogen traps [26] in the development of the micro-damage architecture present in an Al-Zn-Mg-Cu alloy after ductile and hydrogen induced brittle failure.…”

Section: Introductionmentioning

confidence: 99%

Quantitative tomography of hydrogen precharged and uncharged Al-Zn-Mg-Cu alloy after tensile fracture

Gupta

Toda

Fujioka

et al. 2016

Materials Science and Engineering: A

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Quantitative tomography is carried out on datasets derived from tensile fracture sample of electrochemically precharged Al-Zn-Mg-Cu alloy in the underaged condition and its uncharged counterpart. It is shown that precharging which induces a transition of tensile fracture mode from ductile to brittle, results in a significant increase in micro-damage content in the regions near the fracture surfaces. Using quantitative tomography analysis based on spatial mapping of morphologically segmented micro-damage content of the datasets it is found that the precharged sample contains an inhomogenous distribution of micro-pores near grain boundaries. It is also shown that the spatial architecture of micro-pores in the dataset is not influenced by the plastic zone of the intergranular cracks lying along the grain boundaries. Contrastingly the micro-pores in the tomographic dataset of the uncharged sample are shown to be present near intermetallic particles. It is therefore rationalized that the spatial architecture of micro-pores in the datasets from uncharged sample originate from particle cracking during ductile fracture, and from the tendency for damage enhancement by the synergism of hydrogen exposure near grain boundaries and localization of deformation in the precharged sample dataset.

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