Title
Measuring geometrical errors of linear axis of machine tools based on the laser tracker
Abstract
Linear axis is the fundamental part which is widely used in multi-axis machine tools. In order to refine the capability of multi-axis machine tools, efficient error compensation method should be developed, which necessitates effective error measurement method too. In this study, a simple method based on the laser tracker is proposed for measuring six geometrical error components of linear axis of multi-axis machine tools. Three noncollinear points are selected from the stage of linear axis under the test, and the spatial coordinates of these points are collected by a laser tracker. Then, the mathematical geometrical error model which is established by homogeneous transformation, comprehensively describing the relationship between the geometrical error components and the volumetric errors, is performed inversely to achieve a system of equations, and the six geometrical error components can be finally obtained by solving these equations. The effectiveness of laser-tracker-based geometrical error components measuring method is verified by various experiments. Furthermore, compared with some traditional methods, it is efficient and easy to implement because no any alignment of equipment is required and six geometrical error components can be determined synchronously.
Year
DOI
Venue
2011
10.1109/ROBIO.2011.6181637
ROBIO
Keywords
Field
DocType
multiaxis machine tools,measurement by laser beam,laser tracker,measurement errors,machine tool linear axis,error compensation method,geometrical error measurement,linear axis,laser accessories,machine tools,homogeneous transformation,noncollinear points,geometrical error components,instruments,system of equations,mathematical model,measurement uncertainty,machine tool
Computer vision,Spatial reference system,System of linear equations,Homogeneous,Measurement uncertainty,Artificial intelligence,Engineering,Laser tracker,Observational error,Laser beams,Machine tool
Conference
Volume
Issue
ISBN
null
null
978-1-4577-2136-6
Citations 
PageRank 
References 
1
0.48
0
Authors
2
Name
Order
Citations
PageRank
Zhang Zhenjiu110.48
Hu Hong225.31