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Stochastic models in materials science

 
: Vecchio, I.

Balle, Frank; Schryver, Christian de; Gerwalin, Sylvia; Kowalke, Thorsten; Kuhn, Thomas; Liebscher, André; Redenbach, Claudia; Steiner, Konrad ; Fraunhofer-Institut für Techno- und Wirtschaftsmathematik -ITWM-, Kaiserslautern; TU Kaiserslautern; Fraunhofer-Institut für Experimentelles Software Engineering -IESE-, Kaiserslautern:
Young Researcher Symposium, YRS 2013. Proceedings : 8. November 2013, Fraunhofer-Zentrum Kaiserslautern
Stuttgart: Fraunhofer Verlag, 2013
ISBN: 3-8396-0628-4
ISBN: 978-3-8396-0628-5
pp.30-35
Young Researcher Symposium (YRS) <2, 2013, Kaiserslautern>
English
Conference Paper
Fraunhofer ITWM ()

Abstract
Improving the understanding of the link between materials’ physical properties and their microstructures is one of the objectives of materials science. Stochastic models can be exploited to investigate this relation. Microstructures are observed on three-dimensional images obtained by micro-computed tomography. Once the geometric features are extracted on basis of image processing, it is possible to construct a model that embeds the observed characteristics’ distributions. We introduce some stochastic models for fiber systems and foams. Our focus is the investigation of which characteristics are crucial for model fitting. Strategies to facilitate the choice of the parameters of the model are discussed.

: http://publica.fraunhofer.de/documents/N-311668.html