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Recognition of machining features for cast then machined parts

Computer-Aided Design, 2002
Mechanical 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
openaire   +1 more source

A hybrid 3D feature recognition method based on rule and graph

International journal of computer integrated manufacturing (Print), 2021
The 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
semanticscholar   +1 more source

Integrating Solids-Based Machining With Feature Recognition

Volume 6: 16th Computers in Engineering Conference, 1996
Abstract 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
openaire   +1 more source

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, 2018
Machining 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
semanticscholar   +1 more source

Recognition of machining features and feature topologies from NC programs

Computer-Aided Design, 2000
Abstract 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
openaire   +1 more source

Machine recognition of partial shapes using feature vectors

IEEE Transactions on Systems, Man, and Cybernetics, 1985
A 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
openaire   +1 more source

Online heterogeneous feature fusion machines for visual recognition

Neurocomputing, 2014
Heterogeneous 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
openaire   +1 more source

GOLD Features with Machine Learning for Face Recognition

SSRN Electronic Journal, 2017
Face 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, Facebook’s Deep face for automatic tagging of people in photos etc.
A Vinay   +5 more
openaire   +1 more source

Recognition of rough machining features in 2D components

Computer-Aided Design, 1998
In 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
openaire   +1 more source

A novel 2.5D machining feature recognition method based on ray blanking algorithm

Journal of Intelligent Manufacturing, 2023
Peng Shi   +3 more
semanticscholar   +1 more source

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