scholarly journals Influence of thermo-mechanical deformations on the positioning accuracy of CNC machine tools

Author(s):  
A Stoica ◽  
Gh Stan
2011 ◽  
Vol 317-319 ◽  
pp. 1974-1978
Author(s):  
Ling Lin Kong ◽  
Duan Neng Li ◽  
Ke Li

Positioning accuracy of servo feed unit makes an important effect to processing precision in CNC machine tools. The effects in positioning accuracy mainly are the precisions of mechanism and servo system. And the actions of tuning controller gains should directly affect the servo system precision. This paper, a servo system model and its P/PI controller has been formulated and simulated, using an AC servo feed unit as a tested. Through tuning gains of P/PI controller, analyses and control the effects for the feed unit positioning accuracy. Ultimately, experiments have been carried out to test feed unit by laser interferometer. Its shows that tuning gains of P/PI controller, which given in paper, has effectively improved the positioning accuracy of servo feed unit.


2015 ◽  
Vol 220-221 ◽  
pp. 491-496
Author(s):  
Mirosław Pajor ◽  
Jacek Zapłata

The paper presents a compensation system of thermal deformation for conventional feed axes applied in CNC machine tools allowing for an effective reduction in the impact of heat generated during its operation on the positioning accuracy of the axis. The result has been achieved by equipping feed screws with thermistor temperature sensors. Wiring sensors was led out through an axial bore in the screw and through a rotating electrical connector to an acquisition device coupled with the control system of the CNC machine. An algorithm based on neural networks was implemented in the machine control system, which allows for the online calculation and compensation of heat deformation of feed screws. The algorithm takes into account a variation of thermal deformation values as a function of the table position and the current distribution of the temperature field of the screw and machine. The paper presents a user-friendly method for implementing algorithms containing neural networks in the machine control system. The proposed compensation method has been verified by measuring the linear accuracy of the feed axis positioning. The obtained results confirm the effectiveness of the proposed method in reducing the impact of thermal deformation errors on the positioning accuracy of the axis in CNC machine tools.


2013 ◽  
Vol 299 ◽  
pp. 16-18
Author(s):  
Xue Peng Liu ◽  
Dong Mei Zhao

The control program and servo system of CNC machine tools is analyzed. By pitch error and quadrant error compensation, the positioning accuracy in X-direction is ± 20 μ m.


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