Deep learning-based 3D multigrid topology optimization of manufacturable designs

Jaydeep Rade, Anushrut Jignasu, Ethan Herron, Ashton Corpuz, Baskar Ganapathysubramanian, Soumik Sarkar, Aditya Balu, Adarsh Krishnamurthy

Abstract: Highlights•Multigrid approach to train the neural network at fine resolution of 1283.•Demonstrate the manufacturability by 3D printing several sample models predicted our framework.•A data-parallel distributed deep learning framework to accelerate the training process.•A comprehensive high-resolution data set consisting of more than 60k optimal shapes.