A Generalized and Modular Framework for Digital Generation of Composite Microstructures
| Autor: | Berkay Yucel, Surya R. Kalidindi, Ahmet Cecen |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
Technology image filters business.industry Computer science Science Composite number ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Modular design 021001 nanoscience & nanotechnology Microstructure 01 natural sciences microstructure statistics Filter (video) 0103 physical sciences Ceramics and Composites Electronic engineering 0210 nano-technology business microstructure generators Engineering (miscellaneous) composite microstructures |
| Zdroj: | Journal of Composites Science, Vol 5, Iss 211, p 211 (2021) Journal of Composites Science Volume 5 Issue 8 |
| ISSN: | 2504-477X |
| DOI: | 10.3390/jcs5080211 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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