2011
DOI: 10.1016/j.actamat.2011.08.046
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Validation of void growth models using X-ray microtomography characterization of damage in dual phase steels

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Cited by 155 publications
(80 citation statements)
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“…The strain hardening of the matrix also could reduce the prediction of these types of models. 33) Meanwhile, there were several reports demonstrating that the evolution of R was in fair agreement with two models in case of calculating with a limited number of the relatively large voids which were only concerned with growth [8][9][10]13,18) and replacing the initial value of α by a specific constant depending on a material and T state allowed them to be more valid. 9,18) These two items seem to be valuable for making the prediction better.…”
Section: )mentioning
confidence: 95%
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“…The strain hardening of the matrix also could reduce the prediction of these types of models. 33) Meanwhile, there were several reports demonstrating that the evolution of R was in fair agreement with two models in case of calculating with a limited number of the relatively large voids which were only concerned with growth [8][9][10]13,18) and replacing the initial value of α by a specific constant depending on a material and T state allowed them to be more valid. 9,18) These two items seem to be valuable for making the prediction better.…”
Section: )mentioning
confidence: 95%
“…Similar phenomena were observed in several previous works with different types of steels. 9,10,13,18) The average diameter was almost constant or quasi-stagnated in their works when the entire voids were taken into account. 9,10) A reduction in the equivalent diameter of the voids could be due to the nucleation of the voids in the matrix.…”
Section: Void Growthmentioning
confidence: 95%
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