The microstructure of material strongly influences its mechanical properties and the microstructure itself is influenced by the processing conditions. Thus, establishing a Process-Structure-Property relationship is a crucial task in material design and is of interest in many engineering applications. We develop a GAN (Generative Adversarial Network) to synthesize microstructures based on given processing conditions. This approach is devoid of feature engineering, needs little domain awareness, and can be applied to a wide variety of material systems. Results show that our GAN model can produce high-fidelity multi-phase microstructures which have a good correlation with the given processing conditions.
@article{arxiv.2107.09402,
title = {Establishing process-structure linkages using Generative Adversarial Networks},
author = {Mohammad Safiuddin and CH Likith Reddy and Ganesh Vasantada and CHJNS Harsha and Srinu Gangolu},
journal= {arXiv preprint arXiv:2107.09402},
year = {2021}
}