A cutter-aware octree neural network predicts inaccessible and occlusion regions on CAD and freeform meshes in about 0.04 seconds, matching a geometric accessibility analysis to roughly 94 percent agreement.
Computer Aided Geometric Design 62 (2018), 263–275
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.GR 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
DeepMill: Neural Accessibility Learning for Subtractive Manufacturing
A cutter-aware octree neural network predicts inaccessible and occlusion regions on CAD and freeform meshes in about 0.04 seconds, matching a geometric accessibility analysis to roughly 94 percent agreement.