64501 20190709135544.0 doi 10.1016/j.promfg.2017.09.105 sideral 103843 ART-2017-103843 eng (orcid)0000-0001-8689-6482 Aguado Jiménez, Sergio Universidad de Zaragoza Monte Carlo method to machine tool uncertainty evaluation 2017 Access copy available to the general public Unrestricted Currently machine tools are not only a way to make different parts based on material removal processes. These ones can be used as a measurement system too. In this way, overall inspection time is reduced and equipment productivity is increased. Nevertheless, the use of machine tool probes as measurement tool in manufacturing parts required previous works. Firstly, the machine tool accuracy should be improved, in order to reduce the influence of its geometric errors. This way, volumetric verification based on laser tracker measurement has increased strongly in the last few years, especially in long range machine tools. Secondly, calibration uncertainty should be calculated to provide measurement uncertainty. This way, the paper presents a new tool able to analyze the effect of different influence verification parameters in calibration uncertainty based on Monte Carlo method. Using real tests carried out on a milling machine and its geometric errors, the influence or laser tracker measurement noise in calibration uncertainty is studied using Monte Carlo method. info:eu-repo/grantAgreement/ES/DGA/T62 info:eu-repo/grantAgreement/ES/MINECO/DPI2013-46979-C2-1-P info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 0.201 2017 Industrial and Manufacturing Engineering 2017 Q3 Artificial Intelligence 2017 Q3 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion (orcid)0000-0002-1093-8233 Pérez Muñoz, Pablo Universidad de Zaragoza (orcid)0000-0003-4839-0610 Albajez García, José Antonio Universidad de Zaragoza (orcid)0000-0001-9617-1004 Velázquez Sancho, Jesús Universidad de Zaragoza (orcid)0000-0001-7316-0003 Santolaria Mazo, Jorge Universidad de Zaragoza 5002 X Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Proy. investigación HHA 5002 515 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Ing. Procesos Fabricación 13 (2017), 585-592 Procedia Manufacturing 2351-9789 346403 http://zaguan.unizar.es/record/64501/files/texto_completo.pdf Versión publicada 60472 http://zaguan.unizar.es/record/64501/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:64501 articulos driver 2019-07-09-12:08:25 ARTICLE