2022
DOI: 10.1016/j.jmatprotec.2022.117509
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Pore closure in thick aluminum plate: From industrial hot rolling to individual pore observation

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Cited by 9 publications
(7 citation statements)
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“…Those results for the HRBs enable the planning of suitable technology for cold rolling. The desired mechanical and metallographic properties of foil were possible only with the assistance of HRB's properties and changes caused during hot rolling adjustments [22]. Through a further combination of mechanical properties and surface characteristics, the entire surface analysis can be performed via fracture surface parameters to identify differences caused during hot rolling [23].…”
Section: Discussionmentioning
confidence: 99%
“…Those results for the HRBs enable the planning of suitable technology for cold rolling. The desired mechanical and metallographic properties of foil were possible only with the assistance of HRB's properties and changes caused during hot rolling adjustments [22]. Through a further combination of mechanical properties and surface characteristics, the entire surface analysis can be performed via fracture surface parameters to identify differences caused during hot rolling [23].…”
Section: Discussionmentioning
confidence: 99%
“…Gravier et al [31] studied the effect of rolling parameters on the evolution of pore volume on aluminum samples processed by hot rolling, since the pore volume affects the properties of the final product. For this purpose, the authors proposed to use in situ mechanical tests, characterized by X-ray microtomography, to obtain experimental data on the actual pore volume evolution under a representative hot rolling deformation.…”
Section: Flat Rollingmentioning
confidence: 99%
“…Through this characterization, they demonstrated that most micro-porosities in structural steels can be characterized as polyhedra. Gravier et al [8,9] classified the shapes of voids within aluminium materials captured through microtomography and proposed a model to predict void closure behaviour during hot rolling processes.…”
Section: Introductionmentioning
confidence: 99%