000096823 001__ 96823
000096823 005__ 20211216131132.0
000096823 0247_ $$2doi$$a10.3390/s19132847
000096823 0248_ $$2sideral$$a114493
000096823 037__ $$aART-2019-114493
000096823 041__ $$aeng
000096823 100__ $$0(orcid)0000-0001-8689-6482$$aAguado, Sergio$$uUniversidad de Zaragoza
000096823 245__ $$aStudy on Machine Tool Positioning Uncertainty Due to Volumetric Verification
000096823 260__ $$c2019
000096823 5060_ $$aAccess copy available to the general public$$fUnrestricted
000096823 5203_ $$aVolumetric verification is based on the machine tool (MT) kinematic model, along with its geometric errors. Although users often ignore the uncertainty of verification, the use of the MT as a traceable measurement system in the manufacturing process has increased the need for professionals to be aware of it. This paper presents an improvement in the MT kinematic model, introducing in it the influence of verification uncertainty sources. These sources have been classified into four groups: the MT, the measurement system itself, the measurement strategy, and the optimization strategy. As the developed model exhibits non-linear behavior, the Monte Carlo method was used to determine the influence of the measurement system on verification uncertainty using synthetic tests. In this manner, an improved estimation of the MT uncertainty can be obtained. Therefore, if the MT is used as a traceable measurement system, its accuracy should not be higher than the laser tracker (LT) verification influence. It hence shows the importance of LT influence.
000096823 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T56-17R$$9info:eu-repo/grantAgreement/ES/MINECO/SIMULTI
000096823 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000096823 590__ $$a3.275$$b2019
000096823 591__ $$aCHEMISTRY, ANALYTICAL$$b22 / 86 = 0.256$$c2019$$dQ2$$eT1
000096823 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b15 / 64 = 0.234$$c2019$$dQ1$$eT1
000096823 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b77 / 266 = 0.289$$c2019$$dQ2$$eT1
000096823 592__ $$a0.653$$b2019
000096823 593__ $$aInstrumentation$$c2019$$dQ1
000096823 593__ $$aAtomic and Molecular Physics, and Optics$$c2019$$dQ2
000096823 593__ $$aMedicine (miscellaneous)$$c2019$$dQ2
000096823 593__ $$aInformation Systems$$c2019$$dQ2
000096823 593__ $$aAnalytical Chemistry$$c2019$$dQ2
000096823 593__ $$aElectrical and Electronic Engineering$$c2019$$dQ2
000096823 593__ $$aBiochemistry$$c2019$$dQ3
000096823 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000096823 700__ $$0(orcid)0000-0002-1093-8233$$aPérez, Pablo$$uUniversidad de Zaragoza
000096823 700__ $$0(orcid)0000-0003-4839-0610$$aAlbajez, A. José$$uUniversidad de Zaragoza
000096823 700__ $$0(orcid)0000-0001-7316-0003$$aSantolaria, Jorge$$uUniversidad de Zaragoza
000096823 700__ $$0(orcid)0000-0001-9617-1004$$aVelazquez, Jesús$$uUniversidad de Zaragoza
000096823 7102_ $$15002$$2515$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Ing. Procesos Fabricación
000096823 773__ $$g19, 13 (2019), 2847 [17 pp]$$pSensors$$tSensors (Switzerland)$$x1424-8220
000096823 8564_ $$s914494$$uhttps://zaguan.unizar.es/record/96823/files/texto_completo.pdf$$yVersión publicada
000096823 8564_ $$s486605$$uhttps://zaguan.unizar.es/record/96823/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000096823 909CO $$ooai:zaguan.unizar.es:96823$$particulos$$pdriver
000096823 951__ $$a2021-12-16-13:02:38
000096823 980__ $$aARTICLE