94517 20230921135434.0 doi 10.1016/j.promfg.2019.10.042 sideral 118481 ART-2019-118481 eng Aguado, Sergio Universidad de Zaragoza (orcid)0000-0001-8689-6482 Algorithm to optimize measurement system location in a machine tool verification 2019 Access copy available to the general public Unrestricted Nowadays, machine tool accuracy is a competitive element. To improve it, machine tools are verified and compensate periodically reducing the influence of their geometric errors. As geometric errors have systematic behavior, their influence can be compensated after verification. However, verification itself is influenced by random uncertainty sources that affect verification results. Within all influences on machine tool volumetric verification, laser tracker measurement noise is a random uncertainty source that is not usually considered. However, it should not be ignored and can be reduced through an adequate location. This paper presents an algorithm able to analyze the influence of laser tracker location, taking into consideration its specifications and machine tool characteristics. To do that, the developed algorithm provides a zone around MT to locate the measurement system using the Monte Carlo Method. Moreover, it provides the probability distribution function of laser tracker influence related to LT location zone. Therefore, if MT is used as a traceable measurement system, its uncertainty cannot be smaller than LT location uncertainty. info:eu-repo/grantAgreement/ES/DGA/T56-17R info:eu-repo/grantAgreement/ES/MINECO/DPI2017-90106-R info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 0.516 2019 Industrial and Manufacturing Engineering 2019 Q2 Artificial Intelligence 2019 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Pérez, Pablo Universidad de Zaragoza (orcid)0000-0002-1093-8233 Albajez, José Antonio Universidad de Zaragoza (orcid)0000-0003-4839-0610 Santolaria, Jorge Universidad de Zaragoza (orcid)0000-0001-7316-0003 Velázquez, Jesús Universidad de Zaragoza (orcid)0000-0001-9617-1004 5002 515 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Ing. Procesos Fabricación 41 (2019), 1127-1134 Procedia Manufacturing 2351-9789 1230123 http://zaguan.unizar.es/record/94517/files/texto_completo.pdf Versión publicada 292641 http://zaguan.unizar.es/record/94517/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:94517 articulos driver 2023-09-21-13:30:38 ARTICLE