Virtual Foundry Graphnet for Metal Sintering Deformation Prediction

arXiv:2404.11753v1 Announce Type: new
Abstract: Metal Sintering is a necessary step for Metal Injection Molded parts and binder jet such as HP's metal 3D printer. The metal sintering process introduces large deformation varying from 25 to 50% depending on the green part porosity. In this paper, we use a graph-based deep learning approach to predict the part deformation, which can speed up the deformation simulation substantially at the voxel level. Running a well-trained Metal Sintering inferencing engine only takes a …

3d printer abstract arxiv cs.lg deep learning foundry graph graph-based green metal paper part prediction printer process type virtual