Empirical analysis of the efficient use of geometric error identification in a machine tool by tracking measurement techniques

2016 ◽  
Vol 27 (3) ◽  
pp. 035002 ◽  
Author(s):  
S Aguado ◽  
J Santolaria ◽  
D Samper ◽  
J Velazquez ◽  
J J Aguilar
Keyword(s):  
Machine Tool ◽  
Empirical Analysis ◽  
Measurement Techniques ◽  
Geometric Error ◽  
Error Identification ◽  
Tracking Measurement

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
Keyword(s):  
Machine Tool ◽  
Coordinate System ◽  
Large Scale ◽  
Simulation Method ◽  
Geometric Error ◽  
Least Square ◽  
Laser Tracker ◽  
Profile Error ◽  
Error Identification ◽  
Nc Machine

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.

Geometric Error Identification and Compensation for Rotation Axes of Five-Axis Machine Tools

2011 ◽  
Vol 338 ◽  
pp. 786-791 ◽  
Author(s):  
Wang Wei Chu ◽  
Shao Wei Zhu ◽  
Yu Peng ◽  
Guo Fu Ding
Keyword(s):  
Machine Tool ◽  
Machine Tools ◽  
Geometric Error ◽  
Machining Accuracy ◽  
Error Identification ◽  
Rotation Axes ◽  
Process System ◽  
Prototype Software ◽  
Multi Body ◽  
Five Axis

In NC machining, the precision of the final parts is affected by many factors, including geometric deviation of machine tool components and structures, deformation of process system caused by cutting force and cutting heat, servo delay, tool wear and so on. Among which geometric error of machine tool is one of the most important factors. This study focused on geometric error identification and compensation of rotation axes of five-axis machine tools. A new method was proposed to identify the 6 geometric error parameters of each rotation axes of five-axis machine tools based on a ball-bar system. Regarding the machine tool as a rigid multi-body system (MBS), a geometric error model was established based on homogeneous transfer matrix (HTM). Finally, the geometric errors were compensated by correcting NC codes by the prototype software system developed in this study. An experiment and an application were conducted and the results show that the proposed method is effective to improve the machining accuracy.

scholarly journals A method for identifying  and predicting the geometric errors of a rotating axis

2020 ◽  
Author(s):  
Jinwei Fan ◽  
Peitong Wang ◽  
Haohao Tao ◽  
Zhongsheng Li ◽  
Jian Yin
Keyword(s):  
Machine Tool ◽  
Prediction Method ◽  
Geometric Error ◽  
Geometric Errors ◽  
Error Identification ◽  
Rotary Axis ◽  
Double Ball Bar ◽  
Ball Bar ◽  
Discrete Values ◽  
Identification Model

Abstract To improve the machine tool accuracy, an integrated geometric error identification and prediction method is proposed to eliminate the positioning inaccuracy of tool ball for a double ball bar (DBB) caused by the rotary axis’ geometric errors in a multi-axis machine tool. In traditional geometric errors identification model based on homogenous transformation matrices (HTM), the elements of position-dependent geometric errors(PDGEs) are defifined in the local frames attached to the axial displacement, which is inconvenient to do redundance analysis. Thus, this paper proposed an integrated geometric error identification and prediction method to solve the uncertainty problem of the PDGEs of rotary axis. First, based on homogeneous transform matrix (HTM) and multi-body system (MBS) theory, The transfer matrix only considering the rotary axes is derived to determine the tool point position error model. Then a geometric errors identification of rotary axis is introduced by measuring the error increment in three directions. Meanwhile the geometric errors of C-axis are described as position-dependent truncated Fourier polynomials caused by fitting discrete values. Thus, The geometric error identification is converted to the function coefficient. Finally, the proposed new prediction and identification model of PDGEs in the global frame are verified through simulation and experiments with double ball-bar tests.

An Improvement Geometric Error Identification Method of CNC Machine Tool Based on Double Ball Bar

2014 ◽  
Vol 496-500 ◽  
pp. 1516-1521
Author(s):  
Qiang Cheng ◽  
Zhuo Qi ◽  
Kai Li ◽  
Li Gang Cai ◽  
Dong Lu
Keyword(s):  
Machine Tool ◽  
Recognition Algorithm ◽  
Geometric Error ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Error Identification ◽  
Double Ball Bar ◽  
Ball Bar ◽  
Error Recognition ◽  
Better Than

The double ball bar is widely used because it can quickly, easily and cost-effectively detect and evaluate the accuracy of CNC machine tools. But since the error recognition algorithm based on the double ball bar ignores the quadratic item, its recognition accuracy would be reduced. In this paper, an improved CNC verticality error and position error identification formula, combined with the machine tool error model to deduce a new error recognition model of double ball bar measurement is proposed. It can be drawn that the accuracy of the model are better than the existing methods because it keeps the second item in the derivation process of the model.

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