CADNet

Code for Graph Representation of 3D CAD models for Machining Feature Recognition with Deep Learning paper. This is an approach using graph neural networks to learning from planar B-Rep CAD models. In the paper, focus was given towards the machining feature recognition task. Here, faces in B-Rep models were classified as different machining feature classes.

• The code is can be found on Gitlab.
• The original paper can be found here.

Citation

@article{cadnet2020,
  Author = {Weijuan Cao, Trevor Robinson, Yang Hua, Flavien Boussage, Andrew R. Colligan, Wanbin Pan},
  Journal = {Proceedings of the ASME 2020, International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
  Title = {Graph Representation of 3D CAD models for Machining Feature Recognition with Deep Learning},
  Year = {2020}
}