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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
International Journal for Multiscale Computational Engineering
Импакт фактор: 1.016 5-летний Импакт фактор: 1.194 SJR: 0.452 SNIP: 0.68 CiteScore™: 1.18

ISSN Печать: 1543-1649
ISSN Онлайн: 1940-4352

Выпуски:
Том 17, 2019 Том 16, 2018 Том 15, 2017 Том 14, 2016 Том 13, 2015 Том 12, 2014 Том 11, 2013 Том 10, 2012 Том 9, 2011 Том 8, 2010 Том 7, 2009 Том 6, 2008 Том 5, 2007 Том 4, 2006 Том 3, 2005 Том 2, 2004 Том 1, 2003

International Journal for Multiscale Computational Engineering

DOI: 10.1615/IntJMultCompEng.v8.i3.90
pages 343-356

Application of the Automatic Image Processing in Modeling of the Deformation Mechanisms Based on the Digital Representation of Microstructure

Lukasz Rauch
Faculty of Metals Engineering and Industrial Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland
http://www.isim.agh.edu.pl
L. Madej
AGH-University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, Poland

Краткое описание

Numerical modeling based on digital material representation (DMR) prepared on the basis of the automated multiscale processing of microstructure photographs is the subject of this work. The main assumptions of the proposed algorithms, including image filtering, reconstruction, and grain analysis of one- and two-phase materials, are described in the paper. Their advantages and limitations are also discussed in detail. Then the results of the image analysis in the form of explicitly described microstructure representation in two dimensions are passed as input data directly to the finite element software. The sample of digital material is analyzed in order to generate the mesh of finite elements and to attach necessary rheological models. These data are then used during finite element simulations of plastometric compression tests. Examples of obtained stress and strain distribution across an explicitly represented microstructure after deformation are presented and discussed. Directions for future development of the presented approach are also highlighted.


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