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Recognition of machining features for cast then machined parts
Computer-Aided Design, 2002Mechanical parts are typically manufactured using multiple manufacturing processes. Primary processes such as casting realize the primary shape of the part, while secondary processes such as machining generate more detailed shape of the part. This paper presents a feature recognition method to support machining process planning for cast-then-machined ...
Y.S. Kim, E. Wang
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A hybrid 3D feature recognition method based on rule and graph
International journal of computer integrated manufacturing (Print), 2021The implementation of automatic feature recognition (AFR) techniques is considered an indispensable concept in transferring product data between computer-aided design (CAD) and computer-aided process planning (CAPP).
Liang Guo +4 more
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Integrating Solids-Based Machining With Feature Recognition
Volume 6: 16th Computers in Engineering Conference, 1996Abstract The paper describes a system for automatically generating machinable volumes from solid models of single-sided, 2.5D, components and their stock. The resulting bodies are used to support the generation of CNC code from a commercial solids-based machining package.
R. Tuttle +3 more
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Local Symmetry Based Hint Extraction of B-Rep Model for Machining Feature Recognition
Volume 4: 23rd Design for Manufacturing and the Life Cycle Conference; 12th International Conference on Micro- and Nanosystems, 2018Machining feature recognition is a key technology in design for manufacturing, inter-operation of neutral format solid models, and reuse of design models in down-streaming applications.
Zhi Li +4 more
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Recognition of machining features and feature topologies from NC programs
Computer-Aided Design, 2000Abstract The machining feature is a high-level product geometric representation and macro description of the product geometry. It is vital to machining operation planning and integration of CAD and CAM systems. In the feature-based operation planning, given a feature, the operator needs its associated machining operation data.
X. Yan, K. Yamazaki, J. Liu
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Machine recognition of partial shapes using feature vectors
IEEE Transactions on Systems, Man, and Cybernetics, 1985A new concept for examining shapes as vectors in a shape space is described. The shape space is defined in terms of its properties and the importance of the independence of the size variable to the shape vectors. Also, two theorems essential to the process of comparing partial shapes to the complete shape are stated and proved.
Yogendra. J. Tejwani, Richard A. Jones
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Online heterogeneous feature fusion machines for visual recognition
Neurocomputing, 2014Heterogeneous Feature Fusion Machines (HFFM) is a kernel based logistic regression model that effectively fuses multiple features for visual recognition tasks. However, the batch mode solution for HFFM, 'Block Coordinate Gradient Descent' (BCGD) has the same low efficiency and poor scalability as the most batch algorithms do. In this paper, we describe
Shuangping Huang +3 more
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GOLD Features with Machine Learning for Face Recognition
SSRN Electronic Journal, 2017Face detection and recognition is a technology in which machines intelligently recognize a human from his face. Face recognition is widely used for many applications such as tracking attendance, fraud detection for passport, in banks, Facebookâs Deep face for automatic tagging of people in photos etc.
A Vinay +5 more
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Recognition of rough machining features in 2D components
Computer-Aided Design, 1998In this paper, two methods are used to recognize the roughing features in an intermediate workpiece, which is obtained by gluing the finishing features onto the original component. The first method is based on the physical states of equilibrium and hence is referred to as the equilibrium method.
X Xu, S Hinduja
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A novel 2.5D machining feature recognition method based on ray blanking algorithm
Journal of Intelligent Manufacturing, 2023Peng Shi +3 more
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