AndrewColligan / CADNet

Code for Graph Representation of 3D CAD models for Machining Feature Recognition with Deep Learning paper on deep learning from planar B-Rep CAD models.

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}
}