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IJAT Vol.5 No.6 pp. 855-861
doi: 10.20965/ijat.2011.p0855
(2011)

Paper:

Development of a High-Speed and High-Accuracy Machining System Based on Servo-Data Control – Evaluation of Prototype System –

Mikio Fujio

Department of Control and Computer Engineering, Numazu National College of Technology, 3600 Ooka, Numazu, Shizuoka 410-8501, Japan

Received:
April 3, 2011
Accepted:
July 6, 2011
Published:
November 5, 2011
Keywords:
CNC machine tool, servo-data control, predictive error compensation, geometric-model interpolation
Abstract

High-speed and high-accuracy control technology has been developed in Japan and applied to CNC (Computer Numerical Control) machine tools. Therefore, a CNC machine tool, which is made in Japan, has shown a successful history of its performance. Further development of these technologies is important for Japan to maintain its leadership in advanced manufacturing. The purpose of this research is to develop a high-speed and high-accuracy machining system. Two methods are implemented in the proposed prototype system. The first method is “geometric-model interpolation,” which is used to generate high-speed and highaccuracy command positions, and the second method is “predictive compensation,” which is used to correct machining errors. In the proposed prototype system, these errors are simulated preliminarily and compensated for in the servo data by controlling the position and the feed rate. This report describes the configuration of the proposed prototype system, and the performance of the prototype is evaluated by comparing its speed and accuracy with an existing commercial CNC machine tool. The results show that the prototype system is able to control a CNC machine tool with higher speed and greater accuracy than current CNC machine tool systems.

Cite this article as:
M. Fujio, “Development of a High-Speed and High-Accuracy Machining System Based on Servo-Data Control – Evaluation of Prototype System –,” Int. J. Automation Technol., Vol.5, No.6, pp. 855-861, 2011.
Data files:
References
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Last updated on Nov. 18, 2019