Results 271 to 280 of about 4,569,282 (327)
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Machining Feature Recognition Using Descriptors with Range Constraints for Mechanical 3D Models
International Journal of Precision Engineering and Manufacturing, 2023In machining feature recognition, geometric elements generated in a three-dimensional computer-aided design model are identified. This technique is used in manufacturability evaluation, process planning, and tool path generation.
Se-Ho Lim +4 more
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Automatic machining feature recognition from STEP files
International journal of computer integrated manufacturing (Print), 2023Automatic machining feature recognition (AMFR) is a critical component of CAD/CAPP/CAM integration. Multiple intersecting feature intersection causes a major problem in the research field.
Naga Malleswari, P. G. Pragvamsa
semanticscholar +1 more source
FEATURE SELECTION VIA LEAST SQUARES SUPPORT FEATURE MACHINE [PDF]
International Journal of Information Technology & Decision Making, 2007 In many applications such as credit risk management, data are represented as high-dimensional feature vectors. It makes the feature selection necessary to reduce the computational complexity, improve the generalization ability and the interpretability. In this paper, we present a novel feature selection method — "Least Squares Support Feature Machine"
JIANPING LI +4 more
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Feature Selection for Unsupervised Machine Learning
2023 IEEE 8th International Conference on Smart Cloud (SmartCloud), 2023Compared to supervised machine learning (ML), the development of feature selection for unsupervised ML is far behind. To address this issue, the current research proposes a stepwise feature selection approach for clustering methods with a specification to the Gaussian mixture model (GMM) and the k-means.
Huang, Huyunting +5 more
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Manufacturability evaluation of parts using descriptor-based machining feature recognition
International journal of computer integrated manufacturing (Print), 2021Manufacturability validation refers to activities to evaluate the manufacturing cost of parts, manufacturing methods, and manufacturing difficulty, and to determine whether parts can be manufactured from three-dimensional (3D) computer-aided design (CAD)
Changmo Yeo, S. Cheon, D. Mun
semanticscholar +1 more source
Pair Potentials as Machine Learning Features
Journal of Chemical Theory and Computation, 2020Atom pairwise potential functions make up an essential part of many scoring functions for protein decoy detection. With the development of machine learning (ML) tools, there are multiple ways to combine potential functions to create novel ML models and methods.
Jun Pei, Lin Frank Song, Kenneth M. Merz
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Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning
Design Automation Conference, 2020In this paper, the application of deep learning methods to the task of machining feature recognition in CAD models is studied. Four contributions are made: 1.
Weijuan Cao +5 more
semanticscholar +1 more source
Feature-based design by volumetric machining features
International Journal of Production Research, 1998Substantial research efforts have been spent on feature applications towards the integration of CAD and downstream manufacturing functions such as process planning. However, the majority of contemporary feature-based systems cannot handle the interactions of features in practical applications.
Wong, TN, Wong, KW
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A feature-based approach to extracting machining features
Computer-Aided Design, 1998Feature-based modeling has been considered an indispensable tool for integrating design and manufacturing processes. In this paper, we propose a new approach to extracting machining features from a feature-based design model, based on an integrated geometric modeling system that supports both feature-based modeling and feature recognition.
Lee, JY, Kim, K
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Machining Feature Recognition for Cast Then Machined Parts
Volume 2: 19th Computers and Information in Engineering Conference, 1999Abstract We present a method to recognize machining features for the domain of cast-then-machined parts. Non-interacting volumetric machining features are recognized through a face pattern based recognition approach, and are filtered out of the part model.
Yong Se Kim, Eric Wang
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