2018
DOI: 10.1016/j.acme.2018.06.007
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Experimental and numerical two- and three-dimensional investigation of porosity morphology of the sintered metallic material

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Cited by 10 publications
(4 citation statements)
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“…For highly heterogeneous materials, the mechanical properties can also be analysed by this method as long as artificial RVE generation approaches. 3639…”
Section: Discussionmentioning
confidence: 99%
“…For highly heterogeneous materials, the mechanical properties can also be analysed by this method as long as artificial RVE generation approaches. 3639…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, three sets of 60 images of microstructure morphology from subsequent depths (up to approx. 34.20 μm) were obtained and subjected to image processing with in-house 3D reconstruction algorithms [24]. As a result, a complete 3D representation of the investigated microstructure was obtained, as shown in Fig.…”
Section: Methodsmentioning
confidence: 99%
“…A large number of programs and algorithms have been created to generate digital microstructures using, e.g. image analysis techniques [11], Voronoi tessellation [12,13], cellular automata (CA) [14,15], Monte Carlo (MC) [16,17], Molecular Dynamics (MD) [18], numerical homogenization [19,20] or a combination of these approaches. A detailed review of various mentioned numerical solutions was presented in the author's earlier work [21].…”
Section: Motivationmentioning
confidence: 99%
“…14. Details on laborious serial sectioning procedure along with the 3D reconstruction algorithms are presented in earlier authors' research [15,31]. The use of the developed CA library and the workflow concept can provide statistically similar digital models characterized by, e.g.…”
Section: Algorithms For Flexible Generation Of Heterogenous Microstrumentioning
confidence: 99%