Korean J. Met. Mater. 2021;59(11):838-847. Published online 2021 Oct 28
DOI:
https://doi.org/10.3365/KJMM.2021.59.11.838
Abstract
In this study, we constructed a deep convolutional generative adversarial network (DCGAN) to generate the microstructural images that imitate the real microstructures of binary Al-Si cast alloys. We prepared four combinations of alloys, Al-6wt%Si, Al-9wt%Si, Al-12wt%Si and Al-15wt%Si for machine learning. DCGAN is composed of a generator and a discriminator......
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