scholarly journals Stabilization for Feed Drive Accuracy of CNC Machine Tools with Autonomous Control System. Application of Neural Network.

1995 ◽  
Vol 61 (591) ◽  
pp. 4504-4509
Author(s):  
Liang Chen ◽  
Masaomi Tsutsumi ◽  
Dong-Fang Ge ◽  
Antonio Moran
Keyword(s):  
Neural Network ◽  
Control System ◽  
System Application ◽  
Machine Tools ◽  
Autonomous Control ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Feed Drive

Setting up a Work Centre Based on the Profibus Network

2013 ◽  
Vol 282 ◽  
pp. 51-58 ◽  
Author(s):  
Andrzej Piotrowski ◽  
Tadeusz Nieszporek
Keyword(s):  
Control System ◽  
Control Systems ◽  
Machine Tools ◽  
Cnc Machine Tools ◽  
Centralized Control ◽  
Industrial Equipment ◽  
Cnc Machine ◽  
Communications Networks ◽  
Common System ◽  
Work Centre

Information communications networks, and especially their industrial versions (field networks), are an inseparable element of contemporary control systems. They enable pieces of modern industrial equipment to be coupled into a common system. In the case of older-generation equipment (universal one-stand CNC machine tools, manipulators, robots), their extension and integration in either dispersed or centralized control system is possible. As a result of modernization, it is possible to create a production line that will be built based on classic CNC machine tools and operated by manipulators or robots using network solutions and PC computers.

Research of Collaborative Simulation Modeling of High-Speed Machine Tools

2014 ◽  
Vol 608-609 ◽  
pp. 31-35
Author(s):  
Jin Da Zhu ◽  
Li Bing Liu ◽  
Ze Qing Yang
Keyword(s):  
Control System ◽  
Simulation Modeling ◽  
Machine Tools ◽  
Open Architecture ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Collaborative Simulation ◽  
Dynamics And Control ◽  
Domain Models ◽  
And Control

Dynamic effects of machining processing could not be ignored with the increasing speed of CNC machine tools, the analysis of kinematic behavior related to the kinematics, dynamics and control system etc, and there were a lot of coupling relationship of these systems. A simulation of single discipline could not reflect the overall performance with having to the simplification of the other discipline. It proposed a collaborative simulation modeling method based HLA for CNC machine tools. The development process of HLA-based simulation mainly involved system design, high level modeling, domain modeling, transformation of domain models, federal integration. Finally, this paper described an open architecture of collaborative simulation modeling with RTI, and developed the dynamics and control system models using Matlab and Adams software respectively. It provided theoretical support to solve coupling and interaction of the multi domain models of machine tools products in the design and development.

scholarly journals Mathematical Model of Feed Drive Mechanical System and Friction for CNC Machine Tools.

1995 ◽  
Vol 61 (10) ◽  
pp. 1458-1462 ◽  
Author(s):  
Masaomi TSUTSUMI ◽  
Seiji OHTOMO ◽  
Yuichi OKAZAKI ◽  
Koji SAKAI ◽  
Kazuo YAMAZAKI ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Mechanical System ◽  
Machine Tools ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Feed Drive

Research of On-Line Monitoring Technology of Machining Accuracy of CNC Machine Tools

2013 ◽  
Vol 846-847 ◽  
pp. 268-273
Author(s):  
Rong Bo Shi ◽  
Zhi Ping Guo ◽  
Zhi Yong Song
Keyword(s):  
Neural Network ◽  
Machine Tools ◽  
Cnc Machine Tools ◽  
Frequency Domain Method ◽  
Machining Accuracy ◽  
Cnc Machine ◽  
Monitoring Technology ◽  
The Neural Network ◽  
Network Identification ◽  
On Line

This paper analyzes CNC machine tools machining error sources, put forward a kind of on-line monitoring technology of CNC machine tools machining accuracy based on online neural network. Through the establishment of CNC machine tools condition monitoring platform, collection sensor signal of the key components of CNC machine tools, using time domain and frequency domain method of the original signal processing, extract the characteristic related to machining accuracy change, input to the neural network, identification the changes of machining accuracy. The experimental results show that, the on-line monitoring technology based on neural network, can identify the changes of machining accuracy.

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