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Laser tracker error determination using a network measurement

Laser tracker error determination using a network measurement

Hughes, Ben, Forbes, Alistair, Lewis, Andrew, Sun, Wenjuan, Veal, Dan and Nasr, Karim M. ORCID: 0000-0002-8604-6274 (2011) Laser tracker error determination using a network measurement. Measurement Science and Technology, 22 (4):045103. ISSN 0957-0233 (Print), 1361-6501 (Online) (doi:https://doi.org/10.1088/0957-0233/22/4/045103)

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Abstract

We report on a fast, easily implemented method to determine all the geometrical alignment errors of a laser tracker, to high precision. The technique requires no specialist equipment and can be performed in less than an hour. The technique is based on the determination of parameters of a geometric model of the laser tracker, using measurements of a set of fixed target locations, from multiple locations of the tracker. After fitting of the model parameters to the observed data, the model can be used to perform error correction of the raw laser tracker data or to derive correction parameters in the format of the tracker manufacturer's internal error map. In addition to determination of the model parameters, the method also determines the uncertainties and correlations associated with the parameters. We have tested the technique on a commercial laser tracker in the following way. We disabled the tracker's internal error compensation, and used a five-position, fifteen-target network to estimate all the geometric errors of the instrument. Using the error map generated from this network test, the tracker was able to pass a full performance validation test, conducted according to a recognized specification standard (ASME B89.4.19-2006). We conclude that the error correction determined from the network test is as effective as the manufacturer's own error correction methodologies.

Item Type: Article
Uncontrolled Keywords: laser trackers, large volume metrology, uncertainty of measurements, modelling of errors, ASME B89.4.19-2006, mathematical optimisation
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Engineering Science
Last Modified: 02 Oct 2019 12:34
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/25332

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