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Manufacturing process identification from 3D point cloud models using semantic segmentation
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DOI：10.1016/j.jmsy.2025.07.023.png)
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Abstract
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• Mapping CAD model geometric features to manufacturing processes enables accurate process prediction for each part feature. • Dataset of 8 part categories and 3 processes (casting, turning, milling) supports multi-process segmentation. • Achieves state-of-the-art 3D CAD segmentation for manufacturing process selection using MRIConv++ and PRIConv++. • Enhancing segmentation accuracy with point sampling and boundary post processing techniques.
Keywords:
Manufacturing process identification
Deep learning
3D CAD model
Point cloud
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