Results 281 to 290 of about 4,569,282 (327)

Adequacy of machining features for describing machining jobs

International Journal of Industrial and Systems Engineering, 2007
In machining, a piece of material called the raw stock is subjected to a succession of cuts until it reaches the finished state. In feature-based machining, the cuts made are classified as machining features. Several attempts have been made by researchers to define a set of machining features.
Mehul Chitroda, Sangarappillai Sivaloganathan   +1 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, Jie Lin, Danchen Zhou, Bo Zhang, H. Li   +4 more
semanticscholar   +1 more source

POWERTRAIN MACHINING FEATURE IDENTIFICATION

Journal of Advanced Manufacturing Systems, 2004
Presented in this paper is a procedure to identify machining features of powertrain components. Machining feature recognition is one of the most important steps for machining process planning. In the case of powertrain components, the first step is to compare a machined model (finished part model) and the corresponding rough part model to identify the
openaire   +1 more source

Scientific Features of Top Machine

Applied Mechanics and Materials, 2014
Most of the research on the relationship between Artificial Intelligence (AI) and Complexity argued the possibility and reality from a philosophical point of view. Recently A few papers popped up to explored AI Science through Complex System Theory.
Yun Bai, Feng Ming Zhang, Wan Fang Che, Yuan Li, Cong Niu   +4 more
openaire   +1 more source

Combining Dynamic Machining Feature With Function Blocks for Adaptive Machining

IEEE Transactions on Automation Science and Engineering, 2016
Feature-based technologies are widely researched for manufacturing automation. However, in current feature models, features once defined remain constant throughout the whole manufacturing lifecycle.
X. Liu, Yingguang Li, Lihui Wang
semanticscholar   +1 more source

Least Squares Support Feature Machine

2006 International Conference on Computational Intelligence and Security, 2006
In many cases, data are represented as high dimensional feature vectors. It makes the feature selection necessary to reduce the computational burden, improve the generalization ability and the interpretability. In this paper, we present a novel feature selection method which is named Least Squares Support Feature Machine (LS-SFM).
Zhenyu Chen, Jianping Li
openaire   +1 more source

Unification of Machine Learning Features

2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), 2020
In the Information Age, Machine learning (ML) provides a competitive advantage to any business. Machine learning applications are not limited to driverless cars or online recommendations but are widely used in healthcare, social services, government systems, telecommunications, and so on.
openaire   +1 more source

Nonlinear Feature Selection by Relevance Feature Vector Machine

2007
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between features. However it is known that the number of support vectors required in SVM typically grows linearly with the size of the training data set. Such a limitation of SVM becomes
Haibin Cheng, Haifeng Chen, Guofei Jiang, Kenji Yoshihira   +3 more
openaire   +1 more source

Machining Feature-Driven 5-Axis CNC Machine Tools

2006
With a 5-axis CNC machine tool that is built according to the new CNC data model, a user considers information about only the motion of tools, such as the machining shape, the machining operation, and the cutting condition. The user can work without being influenced by the structure of the machine.
Satoshi Mitsui, Fumiki Tanaka, Takeshi Kishinami   +2 more
openaire   +1 more source

Machining Feature Recognition Method Based on Improved Mesh Neural Network

Iranian Journal of Science and Technology, Transactions of Mechanical Engineering, 2023
Jia Jia, Sheng-wen Zhang, Youren Cao, Xiaolong Qi, WeZhu   +4 more
semanticscholar   +1 more source