94589 20210902121740.0 doi 10.3390/s20113148 sideral 118650 ART-2020-118650 eng Pueo, Marcos (orcid)0000-0002-4931-8752 Measuring sensors calibration in worm gear rolling testers 2020 Access copy available to the general public Unrestricted The ISO standard regulating gear-rolling measurement does not specify in detail the calibration and verification procedures for this type of equipment. This may be one of the reasons for the lack of reproducibility in these rolling tests. The uncertainty budget method, which is the most appropriate way to know the accuracy of this dynamic measurement, shows that the measuring sensors’ accuracy is only a part of the total measurement process uncertainty. In this work, a new calibration and verification procedure for a worm gear rolling tester is presented, based on machine tool, coordinate measuring machine and gear measuring instruments’ calibration techniques. After compensating numerically for the measuring instruments, it has been evaluated how the error components of each movement affect the meshing point, a fundamental factor to ensure a good gear transmission. The study shows that there are unintentional position variations, not detected by the measuring sensors, that have to be identified and quantified in the calibration for their later inclusion in the uncertainty budget. In this way, the measurement uncertainty could be reduced, and thus improve the reproducibility of these testers, as a preliminary stage to the development of optimized rolling measurement equipment to solve current limitations. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.576 2020 INSTRUMENTS & INSTRUMENTATION 14 / 64 = 0.219 2020 Q1 T1 CHEMISTRY, ANALYTICAL 26 / 83 = 0.313 2020 Q2 T1 ENGINEERING, ELECTRICAL & ELECTRONIC 82 / 273 = 0.3 2020 Q2 T1 0.636 2020 Analytical Chemistry 2020 Q2 Atomic and Molecular Physics, and Optics 2020 Q2 Biochemistry 2020 Q2 Medicine (miscellaneous) 2020 Q2 Information Systems 2020 Q2 Instrumentation 2020 Q2 Electrical and Electronic Engineering 2020 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Acero, Raquel Universidad de Zaragoza (orcid)0000-0002-4917-8550 Gracia, Ángel (orcid)0000-0002-4756-3391 Santolaria, Jorge Universidad de Zaragoza (orcid)0000-0001-7316-0003 5002 515 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Ing. Procesos Fabricación 20, 11 (2020), 3148 [17 pp.] Sensors Sensors (Switzerland) 1424-8220 4173462 http://zaguan.unizar.es/record/94589/files/texto_completo.pdf Versión publicada 482839 http://zaguan.unizar.es/record/94589/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:94589 articulos driver 2021-09-02-09:41:44 ARTICLE