Please use this identifier to cite or link to this item: doi:10.22028/D291-38762
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Title: Modelling and characterization of ductile fracture surface in Al-Si alloys by means of Voronoi tessellation
Author(s): Kruglova, Anastasia
Roland, Michael
Diebels, Stefan
Dahmen, Tim
Slusallek, Philipp
Mücklich, Frank
Language: English
Title: Materials Characterization
Volume: 131
Pages: 1-11
Publisher/Platform: Elsevier
Year of Publication: 2017
Free key words: Al-Si alloys
Ductile fracture
Fractography
Toughness
Weighted Voronoi tessellation
DDC notations: 004 Computer science, internet
500 Science
Publikation type: Journal Article
Abstract: In this study, a new approach to model the system of dimples on the fracture surface of Al-Si alloys using the weighted Voronoi tessellation is proposed. The tessellation model is applied to metallographic images of the eutectic phase to simulate a fracture surface appearance (as projected on a fractograph) that would potentially exhibit this structure if it had been fractured under uniaxial tensile loading. It enables the determination of geometrical features of virtual fracture surface projections, such as the dimple density, the area and equivalent diameter distributions, and topographic features, such as the dimple depth, the surface area and the roughness, by means of geometrical approximations, empirical and analytical relations. A brief review of the fractographic observations on different Al-Si alloys is made to demonstrate preconditions and motivation for using mosaic methods and in particular their weighted version. The simulation results are confirmed by experimental measurements indicating the credibility and usefulness of the model. The routine for generating the weighted Voronoi diagram is implemented as a Java plugin for the Fiji interface and is easy to execute.
DOI of the first publication: 10.1016/j.matchar.2017.06.013
URL of the first publication: https://doi.org/10.1016/j.matchar.2017.06.013
Link to this record: urn:nbn:de:bsz:291--ds-387629
hdl:20.500.11880/34925
http://dx.doi.org/10.22028/D291-38762
ISSN: 1044-5803
Date of registration: 19-Jan-2023
Faculty: MI - Fakultät für Mathematik und Informatik
NT - Naturwissenschaftlich- Technische Fakultät
Department: MI - Informatik
NT - Materialwissenschaft und Werkstofftechnik
Professorship: MI - Prof. Dr. Philipp Slusallek
NT - Prof. Dr. Stefan Diebels
NT - Prof. Dr. Frank Mücklich
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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