Concurrent build direction, part segmentation, and topology optimization for additive manufacturing using neural networks. (arXiv:2210.01315v1 [cs.LG])

We propose a neural network-based approach to topology optimization that aims
to reduce the use of support structures in additive manufacturing. Our approach
uses a network architecture that allows the simultaneous determination of an
optimized: (1) part segmentation, (2) the topology of each part, and (3) the
build direction of each part that collectively minimize the amount of support
structure. Through training, the network learns a material density and segment
classification in the continuous 3D space. Given a problem domain …

additive manufacturing arxiv manufacturing networks neural networks optimization part segmentation topology