Accuracy Enhancement of CNC Multi-Axis Machine Tools through an On-Line Error Identification and Compensation Strategy

2013 ◽  
Vol 718-720 ◽  
pp. 1388-1393
Author(s):  
Abderrazak El Ouafi ◽  
Noureddine Barka

In order to improve multi-axis machine accuracy, error compensation techniques have been widely applied. However, the lack of reliable methods for direct, global and comprehensive estimation implies that all compensation techniques are based on off-line sequential error components measurement. These measurements provide static results, and cannot reflect the actual machine conditions. Thus, these results are not representative of the real working conditions because of disturbances from thermal distortions and dynamic perturbations. This paper presents an on-line error identification and compensation approach for CNC multi-axis machine tools. Based on the simultaneous measurement of error components, the proposed identification scheme is built to ensure volumetric error prediction for an adaptive error compensation system. Implemented on a moving bridge type CMM, the approach led to a significant improvement of the three-dimensional measurement accuracy.Compared to the conventional off-line error compensation techniques, the proposed identification and compensation approach can further improve the compensation adaptability and efficiency.

Author(s):  
Abderrazak El Ouafi ◽  
Michel Guillot ◽  
Abdellah Bedrouni

Abstract This research is devoted to one of the most fundamental problems in precision engineering: multi-axis machines accuracy. The paper presents a new approach designed to support the implementation of software error compensation of geometric, thermal and dynamic errors for enhancing the accuracy of multi-axis machines. The accuracy of multi-axis machines can be significantly improved using an intelligent integration of sensor information to perform the compensation function. The compensation process consists of the following major steps carried out on-line: continuous monitoring of the machine conditions using position, force, speed and temperature sensors mounted on the machine structure. Error forecasting through sensor fusion. Volumetric error synthesis and software compensation. To improve the effectiveness of error modeling, an artificial neural network is extensively applied. Implemented on a turning center, the compensation approach has enabled improvement of the machine accuracy by reducing the maximum dimensional error from 70 μm initially to less than 4 μm.


2013 ◽  
Vol 40 (7) ◽  
pp. 0708006 ◽  
Author(s):  
彭旷 Peng Kuang ◽  
曹益平 Cao Yiping ◽  
武迎春 Wu Yingchun ◽  
郑素珍 Zheng Suzhen

2009 ◽  
Vol 9 (7) ◽  
pp. 1356-1361 ◽  
Author(s):  
M. Raoufinia ◽  
Y.V. Petrakov ◽  
A. Ataei ◽  
R. Parand ◽  
K. Abou-El-Ho

2017 ◽  
Vol 46 (7) ◽  
pp. 717004
Author(s):  
许幸芬 Xu Xingfen ◽  
曹益平 Cao Yiping ◽  
付光凯 Fu Guangkai ◽  
陈 澄 Chen Cheng ◽  
王亚品 Wang Yapin

2018 ◽  
Vol 38 (11) ◽  
pp. 1112003
Author(s):  
彭旷 Peng Kuang ◽  
曹益平 Cao Yiping ◽  
武迎春 Wu Yingchun

2013 ◽  
Vol 820 ◽  
pp. 147-150 ◽  
Author(s):  
Wei Wang ◽  
Jian Guo Yang

In this paper, a combined error model for thermal error compensation of machine tools is presented. Through the analysis of thermal error data of machine spindle at different temperatures, the error variation law is obtained. Experiments on the axial directional spindle deformation on a CNC machine center are conducted to build and validate the proposed models. The experimental validations show that the thermal errors of the machine tool are reduced effectively after applying the error compensation approach. The combined error model performs better than the traditional time series and neural network model in terms of prediction accuracy and robustness, which means that the new model is more suitable for complex working conditions in industrial applications.


2016 ◽  
Vol 679 ◽  
pp. 1-5 ◽  
Author(s):  
Yang Li ◽  
Ji Zhao ◽  
Shi Jun Ji ◽  
Xin Wang

A new method compensating geometric error components of a four-axis horizontal machine tool is presented in this paper. Homogeneous transformation matrices (HTMS) and error conversion are integrated in the compensation strategy. A mathematical model which contains 29 geometric error components is established based on HTMS and the errors in X, Y and Z directions are obtained through calculation. The errors in three directions are compensated by shifting the corresponding axis. But the configuration of this machine tool is X-axis, Z-axis, B-axis, C-axis without Y-axis, so the errors in X, Y and Z directions need to be converted into X, Z and C directions which is different from the traditional machine tools. The errors after conversion are used to compensation directly. This approach is significant for the error modeling and compensation which is an easy and efficient way to improve the precision of the four-axis machine tools.


2004 ◽  
Vol 471-472 ◽  
pp. 587-591
Author(s):  
Guo Liang Liu ◽  
H.T. Zhao ◽  
G. Turyagye ◽  
Y.Q. Ren ◽  
Jian Guo Yang ◽  
...  

This paper presents the method and process of the real-time error compensation (RTEC) on NC machine tools, which includes: identification and measurement of error components, separating and modeling of geometric-thermal error components, geometric-thermal volumetric error synthesis model, compensation control system, performance evaluation of error compensation by the body diagonal displacement measurement, and the industry application of real-time error compensation. The technique has been successfully applied to many different NC machine tools in the plants for practical production, and the machining accuracy of the NC machine tools is improved by an order of magnitude with low cost.


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