A Generalized and Modular Framework for Digital Generation of Composite Microstructures

This paper presents a generalized framework for the digital generation of composite microstructures using filter-based approaches that can devise and utilize a wide variety of cost functions reflecting the desired targets on geometrical and statistical measures. The use of filter-based approaches le...

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Main Authors: Ahmet Cecen, Berkay Yucel, Surya R. Kalidindi
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Journal of Composites Science
Subjects:
Online Access:https://www.mdpi.com/2504-477X/5/8/211
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spelling doaj-d3d4c0caa6d5459fad7fe0d98fce5be12021-08-26T13:56:20ZengMDPI AGJournal of Composites Science2504-477X2021-08-01521121110.3390/jcs5080211A Generalized and Modular Framework for Digital Generation of Composite MicrostructuresAhmet Cecen0Berkay Yucel1Surya R. Kalidindi2School of Computational Science and Engineering, Georgia Tech, Atlanta, GA 30332, USAWoodruff School of Mechanical Engineering, Georgia Tech, Atlanta, GA 30332, USASchool of Computational Science and Engineering, Georgia Tech, Atlanta, GA 30332, USAThis paper presents a generalized framework for the digital generation of composite microstructures using filter-based approaches that can devise and utilize a wide variety of cost functions reflecting the desired targets on geometrical and statistical measures. The use of filter-based approaches leads to remarkable computational advantages compared to the conventional approaches used currently for microstructure generation. The framework provides a highly modular and flexible approach to generate stochastic ensembles of microstructures meeting user-defined microstructural characteristics. The proposed framework is illustrated in this paper through selected case studies.https://www.mdpi.com/2504-477X/5/8/211composite microstructuresmicrostructure generatorsmicrostructure statisticsimage filters
collection DOAJ
language English
format Article
sources DOAJ
author Ahmet Cecen
Berkay Yucel
Surya R. Kalidindi
spellingShingle Ahmet Cecen
Berkay Yucel
Surya R. Kalidindi
A Generalized and Modular Framework for Digital Generation of Composite Microstructures
Journal of Composites Science
composite microstructures
microstructure generators
microstructure statistics
image filters
author_facet Ahmet Cecen
Berkay Yucel
Surya R. Kalidindi
author_sort Ahmet Cecen
title A Generalized and Modular Framework for Digital Generation of Composite Microstructures
title_short A Generalized and Modular Framework for Digital Generation of Composite Microstructures
title_full A Generalized and Modular Framework for Digital Generation of Composite Microstructures
title_fullStr A Generalized and Modular Framework for Digital Generation of Composite Microstructures
title_full_unstemmed A Generalized and Modular Framework for Digital Generation of Composite Microstructures
title_sort generalized and modular framework for digital generation of composite microstructures
publisher MDPI AG
series Journal of Composites Science
issn 2504-477X
publishDate 2021-08-01
description This paper presents a generalized framework for the digital generation of composite microstructures using filter-based approaches that can devise and utilize a wide variety of cost functions reflecting the desired targets on geometrical and statistical measures. The use of filter-based approaches leads to remarkable computational advantages compared to the conventional approaches used currently for microstructure generation. The framework provides a highly modular and flexible approach to generate stochastic ensembles of microstructures meeting user-defined microstructural characteristics. The proposed framework is illustrated in this paper through selected case studies.
topic composite microstructures
microstructure generators
microstructure statistics
image filters
url https://www.mdpi.com/2504-477X/5/8/211
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