Learning localized features in 3D CAD models for manufacturability analysis of drilled holes

DOI10.1016/j.cagd.2018.03.024zbMath1505.65060OpenAlexW2793310866WikidataQ130076863 ScholiaQ130076863MaRDI QIDQ1644399

Adarsh Krishnamurthy, Soumik Sarkar, Aditya Balu, Sambit Ghadai

Publication date: 21 June 2018

Published in: Computer Aided Geometric Design (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cagd.2018.03.024

zbMATH Keywords

machine learning3D convolutional neural networkdesign for manufacturingGPU-accelerated algorithmslocalized feature detectionvoxelized representations

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computer-aided design (modeling of curves and surfaces) (65D17)

Related Items (3)

Reverse engineering of CAD models via clustering and approximate implicitization ⋮ Dot to dot, simple or sophisticated: a survey on shape reconstruction algorithms ⋮ Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models

Uses Software

• darch
• ACIS 3D
• TensorFlow
• Keras
• Grad-CAM
• OctNet
• VoxNet
• ADADELTA
• LLNet

Cites Work

• Reducing the Dimensionality of Data with Neural Networks

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