3D convolutional neural network for machining feature recognition with gradient-based visual explanations from 3D CAD models [PDF]
Scientific Reports, 2022 In the manufacturing industry, all things related to a product manufactured are generated and managed with a three-dimensional (3D) computer-aided design (CAD) system.
Jinwon Lee, Hyunoh Lee, Duhwan Mun
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Machining feature recognition based on deep neural networks to support tight integration with 3D CAD systems [PDF]
Scientific Reports, 2021 Recently, studies applying deep learning technology to recognize the machining feature of three-dimensional (3D) computer-aided design (CAD) models are increasing.
Changmo Yeo +4 more
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Machines, 2022 Machining feature recognition is a research hotspot in recent years. A point cloud is a geometry data representation format of three-dimensional (3D) models.
Ruoshan Lei, Hongjin Wu, Yibing Peng
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MBD-Based Machining Feature Recognition and Process Route Optimization
Machines, 2022 Machining feature recognition is considered the key connecting technique to the integration of Computer-Aided Design (CAD) and Computer-Aided Process Planning (CAPP), and decision-making of the part processing scheme and the optimization of process route
Shuhui Ding +4 more
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A Semi-Supervised Learning Framework for Machining Feature Recognition on Small Labeled Sample
Applied Sciences, 2023 Automated machining feature recognition is an essential component linking computer-aided design (CAD) and computer-aided process planning (CAPP). Deep learning (DL) has recently emerged as a promising method to improve machining feature recognition ...
Hongjin Wu +3 more
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A Novel Approach for Automatic Machining Feature Recognition with Edge Blend Feature
MATEC Web of Conferences, 2017 This paper presents an algorithm for efficiently recognizing and determining the convexity of an edge blend feature. The algorithm first recognizes all of the edge blend features from the Boundary Representation of a part; then a series of convexity test
Keong Chen Wong, Yusof Yusri
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BRepGAT: Graph neural network to segment machining feature faces in a B-rep model
Journal of Computational Design and Engineering, 2023 In recent years, there have been many studies using artificial intelligence to recognize machining features in 3D models in the CAD/CAM field. Most of these studies converted the original CAD data into images, point clouds, or voxels for recognition ...
Jinwon Lee +4 more
semanticscholar +1 more source
Hierarchical CADNet: Learning from B-Reps for Machining Feature Recognition
Comput. Aided Des., 2022 Deep learning approaches have been shown to be capable of recognizing shape features (e.g. machining features) in Computer-Aided Design (CAD) models in certain circumstances, yet still have issues when the features intersect, and in exploiting the ...
Andrew R. Colligan +4 more
semanticscholar +1 more source
Intersecting Machining Feature Localization and Recognition via Single Shot Multibox Detector
IEEE Transactions on Industrial Informatics, 2021 In Industrie 4.0, machines are expected to become autonomous, self-aware and self-correcting. One important step in the area of manufacturing is feature recognition that aims to detect all the machining features from a 3-D model.
Peizhi Shi +4 more
semanticscholar +1 more source
Novel Integration of CAPP in a G-Code Generation Module Using Macro Programming for CNC Application
Machines, 2020 In the modern manufacturing industry, the role of computer-aided process planning (CAPP) is becoming increasingly crucial. Through the application of new technologies, experience, and intelligence, CAPP is contributing to the automation of manufacturing ...
Trung Kien Nguyen +2 more
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