152049 20251017144620.0 doi 10.3390/s21227479 sideral 126826 ART-2021-126826 eng Velázquez J. Universidad de Zaragoza (orcid)0000-0001-9617-1004 Study on lt accuracy improvement by calibration based on network measurements 2021 Access copy available to the general public Unrestricted Laser trackers (LT) are widely used to calibrate other machines. Nevertheless, very little is known about calibrating an LT. There are some standards that allow us to evaluate the LT per-formance. However, they require specialized equipment. A calibration procedure to improve the LT accuracy in an easy and fast way is presented in this paper. This method is based on network measurements where a set of reflectors were measured from different LT positions in a working environment. The methodology proposed deal with the lack of nominal data of the reflector mesh. A measurement scenario was defined, based on error parameter dependence on distances and an-gles, thus, obtaining those positions more sensitive to errors. The influence of the incidence angle of the laser beam on the reflector was characterized, revealing that its contribution to the LT measurement error can be up to 13 µm. Error kinematic parameters were identified to provide the optimum value of an objective function, where the reflector mesh nominal data were unknown. The calibration procedure was validated with nominal data, by measuring a set of reflectors located on a coordinate measuring machine. The findings of this study suggested that the LT accuracy can be improved up to 25%. Moreover, the method can be carried out by the LT user without requiring specialized equipment. info:eu-repo/grantAgreement/ES/DGA/T56-20R info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es 3.847 2021 CHEMISTRY, ANALYTICAL 29 / 87 = 0.333 2021 Q2 T2 INSTRUMENTS & INSTRUMENTATION 19 / 64 = 0.297 2021 Q2 T1 ENGINEERING, ELECTRICAL & ELECTRONIC 95 / 274 = 0.347 2021 Q2 T2 0.803 2021 Analytical Chemistry 2021 Q1 Biochemistry 2021 Q1 Instrumentation 2021 Q1 Information Systems 2021 Q1 Electrical and Electronic Engineering 2021 Q1 6.4 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Conte J. Universidad de Zaragoza (orcid)0000-0003-4360-080X Majarena A.C. Universidad de Zaragoza (orcid)0000-0002-3945-2595 Santolaria J. Universidad de Zaragoza (orcid)0000-0001-7316-0003 5002 515 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Ing. Procesos Fabricación 21, 22 (2021), 7479 [17 pp.] Sensors Sensors 1424-8220 3370838 http://zaguan.unizar.es/record/152049/files/texto_completo.pdf Versión publicada 2770362 http://zaguan.unizar.es/record/152049/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:152049 articulos driver 2025-10-17-14:21:20 ARTICLE