Parametric optimization and surface characterization of wire electrical discharge machining process
TA Spedding, ZQ Wang - Precision Engineering, 1997 - Elsevier
Wire electrical discharge machining (WEDM) technology has been widely used in
conductive material machining. The WEDM process, which is a combination of …
conductive material machining. The WEDM process, which is a combination of …
Study on modeling of wire EDM process
TA Spedding, ZQ Wang - Journal of Materials Processing Technology, 1997 - Elsevier
Wire electrical discharge machining (WEDM) technology has been used widely in
production, aerospace/aircraft, medical and virtually all areas of conductive material …
production, aerospace/aircraft, medical and virtually all areas of conductive material …
X-bar and R control chart interpretation using neural computing
AE Smith - The International Journal of Production Research, 1994 - Taylor & Francis
This paper formulates Shewhart mean (X-bar) and range (R) control charts for diagnosis and
interpretation by artificial neural networks. Neural networks are trained to discriminate …
interpretation by artificial neural networks. Neural networks are trained to discriminate …
Tool wear monitoring in face milling using force signals
SC Lin, RJ Lin - Wear, 1996 - Elsevier
The primary objective of this research is to monitor tool wear in face milling on line. In this
paper, two approaches to monitoring tool wear in face milling are presented. The first …
paper, two approaches to monitoring tool wear in face milling are presented. The first …
Identification of common sensory features for the control of CNC milling operations under varying cutting conditions
YM Ertekin, Y Kwon, TLB Tseng - International Journal of Machine Tools …, 2003 - Elsevier
The main focus of this study is to identify the most influential and common sensory features
for the process quality characteristics in CNC milling operations—dimensional accuracy …
for the process quality characteristics in CNC milling operations—dimensional accuracy …
Drill wear monitoring using neural networks
SC Lin, CJ Ting - International Journal of Machine Tools and …, 1996 - Elsevier
The primary objective of this research is to monitor drill wear on-line. In this paper, drill wear
monitoring is carried out by measuring the thrust force and torque signals. In order to identify …
monitoring is carried out by measuring the thrust force and torque signals. In order to identify …
Applications of artificial intelligence to grinding operations via neural networks
TMA Maksoud, MR Atia, MM Koura - Machining science and …, 2003 - Taylor & Francis
In recent years, artificial intelligence played an important role in machine tool automation.
Artificial neural networks, as one of the artificial intelligence algorithms, has superiority in …
Artificial neural networks, as one of the artificial intelligence algorithms, has superiority in …
A neural network approach to the decision-making process for grinding operations
M Sakakura, I Inasaki - CIRP annals, 1992 - Elsevier
In this paper, a decision making process model for grinding operations is proposed. It has a
multistage structure and consists of different two types of neural network: the Feed-Forward …
multistage structure and consists of different two types of neural network: the Feed-Forward …
[图书][B] Computer-aided Maintenance: methodologies and practices
J Lee, B Wang - 2012 - books.google.com
In today's business environment, reliability and maintenance drastically affect the three key
elements of competitiveness-quality, cost, and product lead time. Well-maintained machines …
elements of competitiveness-quality, cost, and product lead time. Well-maintained machines …
Reducing waste in casting with a predictive neural model
This paper describes an interactive neural network model that predicts the quality of cast
ceramic products using multiple quantitative and qualitative inputs. This has been done to …
ceramic products using multiple quantitative and qualitative inputs. This has been done to …