A Geometric Error Identification and Simulation Method Based on Laser Tracker for Large-Scale Multi-Axis NC Machine Tools

2012 ◽  
Vol 472-475 ◽  
pp. 556-560
Author(s):  
Ji Yang Ma ◽  
Fang Yu Peng ◽  
Rong Yan ◽  
Jing Wu

To evaluate the profile error of manufacture mainly caused by geometric error of machine tool, this paper proposes a geometric error identification and profile error simulation method. The identify method measures each axis of machine tool based on laser tracker, then using the least square method to fit the axis, as a result the coordinate system of each axis can be built. The geometric error of machine tool can be gained by analysis of the coordinate system. Building the kinematics model of large-scale multi-axis NC machine tool considered the geometric error, then using MATLAB and UG second development to achieve simulation of profile error.

2011 ◽  
Vol 697-698 ◽  
pp. 249-252
Author(s):  
Yu Fen Deng ◽  
Jun Jie Guo ◽  
Jin Dong Wang ◽  
H. Wang

The paper presents the principle and algorithm of multi-point and time-sharing measurement method to detect the machine geometric accuracy.Its basic principle is based on laser tracker and the multilateral method,moreover,only one laser tracker is used in the measurement.Its cost is lower than multi-point and simultaneous measurement.Then the application of the method is introduced on a glass measuring instrument.The geometric error of the machine is separated in x and y direction.


2012 ◽  
Vol 23 (4) ◽  
pp. 045003 ◽  
Author(s):  
Jindong Wang ◽  
Junjie Guo ◽  
Guoxiong Zhang ◽  
Bao'an Guo ◽  
Hongjian Wang

2010 ◽  
Vol 37-38 ◽  
pp. 505-508
Author(s):  
Xian Qiu Zhu ◽  
Dong Gao ◽  
Gang Wei Cui

It is inefficient and complicate to detect geometric errors of a heavy machine tool with large scale dimensions by using traditional laser interferometer. With the development of the laser tracker convenient for measuring large scale dimension, the accuracy of the laser tracker can meet the accuracy requirements for geometric error measurement of heavy machine tools. In this paper a method of using laser tracker for detecting and identifying the error of a heavy NC boring and milling machine tool is introduced. The measuring experiment demonstrates that this new method can improve the measurement efficiency.


2012 ◽  
Vol 472-475 ◽  
pp. 2371-2376 ◽  
Author(s):  
Jin Dong Wang ◽  
Jun Jie Guo ◽  
Yu Fen Deng ◽  
Hai Tao Li

Error compensation is an effective method to improve the machining accuracy of NC machine tool. A laser tracker is used to rapidly and accurately detect the geometric error of NC machine tool in the paper. The machine tool is controlled to move on the preset path in the space, and a laser tracker is used to measure the motion trajectory of the machine tool. Each geometric error can be identified by error separation. Based on the error model of 3-axis machine tool, error compensation can be carried out by modifying the machining process (G code). Results of experiment show that, this measurement method is feasible, and modifying the G code for error compensation is also effective.


2011 ◽  
Vol 308-310 ◽  
pp. 531-537
Author(s):  
Yu Fen Deng ◽  
Jun Jie Guo ◽  
Jin Dong Wang ◽  
Jun Feng Lu

This paper presents a measurement method of NC machine geometric accuracy. The principle is that a laser tracker is used to collect a lot of target point coordinates on four different locations around the machine during the machine spindle moving. A redundant equations could be established through target point coordinates,then the exact location of each target point coordinates could be determined by the principles of GPS positioning.Through the target point coordinates,the geometric error of machine could be separated. The method has fast measuring speed and low cost.Moreover the measurement precision is higher than direct measurement only using one laser tracker because the GPS positioning principle is used to avoid the angle measurment of laser tracker.


2011 ◽  
Vol 38 (9) ◽  
pp. 0908002 ◽  
Author(s):  
张振久 Zhang Zhenjiu ◽  
胡泓 Hu Hong ◽  
刘欣 Liu Xin

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