A Generalized and Modular Framework for Digital Generation of Composite Microstructures
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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.
2019 ◽
Vol 27
(3)
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pp. 10-12
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2003 ◽
Vol 9
(1)
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pp. 2-11
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1978 ◽
Vol 9
(4)
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pp. 220-235
2014 ◽
Vol 23
(1)
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pp. 42-54
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