Topology Optimization Using Convolutional Neural Network

Machine Learning for Additive Manufacturing

“…Results ranged from 92% intersection over union accuracy for input volumes of just five SIMP iterations, to 99.2% after 80 [21]. This work has been extended in further studies by Banga et al [22] and later by Harish et al [23], which looked at 3D implementations for cantilevered beams, with Banga et al [22] obtaining a binary accuracy of 96%. The implications of these studies show that effective implementation of ML into the TO workflow may allow for:…”