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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2021-08-01
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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 |
work_keys_str_mv |
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