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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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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An Agent-Based Method for Feature Recognition and Path Optimization of Computer Numerical Control Machining Trajectories [PDF]
SensorsIn recent years, artificial intelligence technology has seen increasingly widespread application in the field of intelligent manufacturing, particularly with deep learning offering novel methods for recognizing geometric shapes with specific features. In
Purui Li +5 more
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Tool Wear State Identification Method with Variable Cutting Parameters Based on Multi-Source Unsupervised Domain Adaptation [PDF]
SensorsAccurately identifying tool wear states with variable cutting parameters can improve machining quality and efficiency. However, existing wear state recognition methods based on unsupervised domain adaptation mostly employ the knowledge transfer learning ...
Zhigang Cai +4 more
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A Novel Approach for Automatic Machining Feature Recognition with Edge Blend Feature [PDF]
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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Adaptive recognition of machining features in sheet metal parts based on a graph class-incremental learning strategy [PDF]
Scientific ReportsThe integration of computer-aided design (CAD), computer-aided process planning (CAPP), and computer-aided manufacturing (CAM) systems is significantly enhanced by employing deep learning-based automatic feature recognition (AFR) methods.
Liuhuan Ma, Jiong Yang
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Recent Advances in Precision Diamond Wheel Dicing Technology [PDF]
MicromachinesPrecision dicing with diamond wheels is a key technology in semiconductor dicing, integrated circuit manufacturing, aerospace, and other fields, owing to its high precision, high efficiency, and broad material applicability.
Fengjun Chen +7 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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Proposal of a machining feature recognition method to reflect product and manufacturing information
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2022 The recognition of machining features has been considered an important technology in the development of computer-aided process planning (CAPP) systems. Various machining feature recognition methods have been devised that use the geometric information of ...
Tetsuya ASANO +2 more
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