Titre:	Estimating the effective elastic parameters of nodular cast iron from micro-tomographic imaging and multiscale finite elements : comparison between numerical and experimental results
Auteur(s):	Pereira, André Costa, Marcio Anflor, Carla Tatiana Mota Pardal, Juan Leiderman, Ricardo
metadata.dc.identifier.orcid:	https://orcid.org/0000-0003-0991-8515 https://orcid.org/0000-0003-3941-8335 https://orcid.org/0000-0002-0443-9294
Assunto::	Ferro fundido Método dos elementos finitos Micro-tomografia
Date de publication:	2018
Editeur:	MDPI
Référence bibliographique:	PEREIRA, Andre et al. Estimating the effective elastic parameters of nodular cast iron from micro-tomographic imaging and multiscale finite elements: comparison between numerical and experimental results. Metals, v. 8, n. 9, article 695. DOI: https://doi.org/10.3390/met8090695. Disponível em: https://www.mdpi.com/2075-4701/8/9/695. Acesso em: 23 out. 2019.
Abstract:	Herein, we describe in detail a methodology to estimate the effective elastic parameters of nodular cast iron, using micro-tomography in conjunction with multiscale finite elements. We discuss the adjustment of the image acquisition parameters, address the issue of the representative-volume choice, and present a brief discussion on image segmentation. In addition, the finite-element computational implementation developed to estimate the effective elastic parameters from segmented microstructural images is described, indicating the corresponding computational costs. We applied the proposed methodology to a nodular cast iron, and estimated the graphite elastic parameters through a comparison between the numerical and experimental results.
metadata.dc.description.unidade:	Faculdade de Ciências e Tecnologias em Engenharia (FCTE) – Campus UnB Gama
Licença::	© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Collection(s) :	Artigos publicados em periódicos e afins

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