Implementing AI for 3D printing variable optimization

Professor WonHyoung Ryu's research team in the Department of Mechanical Engineering developed a A convolutional neural network (CNN) guided Bayesian optimization framework to strategically optimize the variables of 3D printing. This study contributed on improving the performance of bio fuel cells through structural optimization and was pubilshed in 'Virtual and Physical Prototyping' (JCR top 4.9%).

The link: https://doi.org/10.1080/17452759.2022.2150231