000064501 001__ 64501 000064501 005__ 20190709135544.0 000064501 0247_ $$2doi$$a10.1016/j.promfg.2017.09.105 000064501 0248_ $$2sideral$$a103843 000064501 037__ $$aART-2017-103843 000064501 041__ $$aeng 000064501 100__ $$0(orcid)0000-0001-8689-6482$$aAguado Jiménez, Sergio$$uUniversidad de Zaragoza 000064501 245__ $$aMonte Carlo method to machine tool uncertainty evaluation 000064501 260__ $$c2017 000064501 5060_ $$aAccess copy available to the general public$$fUnrestricted 000064501 5203_ $$aCurrently 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. 000064501 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T62$$9info:eu-repo/grantAgreement/ES/MINECO/DPI2013-46979-C2-1-P 000064501 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/ 000064501 592__ $$a0.201$$b2017 000064501 593__ $$aIndustrial and Manufacturing Engineering$$c2017$$dQ3 000064501 593__ $$aArtificial Intelligence$$c2017$$dQ3 000064501 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000064501 700__ $$0(orcid)0000-0002-1093-8233$$aPérez Muñoz, Pablo$$uUniversidad de Zaragoza 000064501 700__ $$0(orcid)0000-0003-4839-0610$$aAlbajez García, José Antonio$$uUniversidad de Zaragoza 000064501 700__ $$0(orcid)0000-0001-9617-1004$$aVelázquez Sancho, Jesús$$uUniversidad de Zaragoza 000064501 700__ $$0(orcid)0000-0001-7316-0003$$aSantolaria Mazo, Jorge$$uUniversidad de Zaragoza 000064501 7102_ $$15002$$2X$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cProy. investigación HHA 000064501 7102_ $$15002$$2515$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Ing. Procesos Fabricación 000064501 773__ $$g13 (2017), 585-592$$tProcedia Manufacturing$$x2351-9789 000064501 8564_ $$s346403$$uhttps://zaguan.unizar.es/record/64501/files/texto_completo.pdf$$yVersión publicada 000064501 8564_ $$s60472$$uhttps://zaguan.unizar.es/record/64501/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000064501 909CO $$ooai:zaguan.unizar.es:64501$$particulos$$pdriver 000064501 951__ $$a2019-07-09-12:08:25 000064501 980__ $$aARTICLE