000061968 001__ 61968 000061968 005__ 20191105115759.0 000061968 0247_ $$2doi$$a10.3390/s17071605 000061968 0248_ $$2sideral$$a100835 000061968 037__ $$aART-2017-100835 000061968 041__ $$aeng 000061968 100__ $$0(orcid)0000-0002-4157-5666$$aMutilba, Unai 000061968 245__ $$aTraceability of on-machine tool measurement: a review 000061968 260__ $$c2017 000061968 5060_ $$aAccess copy available to the general public$$fUnrestricted 000061968 5203_ $$aNowadays, errors during the manufacturing process of high value components are not acceptable in driving industries such as energy and transportation. Sectors such as aerospace, automotive, shipbuilding, nuclear power, large science facilities or wind power need complex and accurate components that demand close measurements and fast feedback into their manufacturing processes. New measuring technologies are already available in machine tools, including integrated touch probes and fast interface capabilities. They provide the possibility to measure the workpiece in-machine during or after its manufacture, maintaining the original setup of the workpiece and avoiding the manufacturing process from being interrupted to transport the workpiece to a measuring position. However, the traceability of the measurement process on a machine tool is not ensured yet and measurement data is still not fully reliable enough for process control or product validation. The scientific objective is to determine the uncertainty on a machine tool measurement and, therefore, convert it into a machine integrated traceable measuring process. For that purpose, an error budget should consider error sources such as the machine tools, components under measurement and the interactions between both of them. This paper reviews all those uncertainty sources, being mainly focused on those related to the machine tool, either on the process of geometric error assessment of the machine or on the technology employed to probe the measurand. 000061968 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000061968 590__ $$a2.475$$b2017 000061968 591__ $$aCHEMISTRY, ANALYTICAL$$b30 / 80 = 0.375$$c2017$$dQ2$$eT2 000061968 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b16 / 61 = 0.262$$c2017$$dQ2$$eT1 000061968 591__ $$aELECTROCHEMISTRY$$b15 / 28 = 0.536$$c2017$$dQ3$$eT2 000061968 592__ $$a0.584$$b2017 000061968 593__ $$aAnalytical Chemistry$$c2017$$dQ2 000061968 593__ $$aAtomic and Molecular Physics, and Optics$$c2017$$dQ2 000061968 593__ $$aMedicine (miscellaneous)$$c2017$$dQ2 000061968 593__ $$aElectrical and Electronic Engineering$$c2017$$dQ2 000061968 593__ $$aInstrumentation$$c2017$$dQ2 000061968 593__ $$aBiochemistry$$c2017$$dQ3 000061968 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000061968 700__ $$aGomez-Acedo, Eneko 000061968 700__ $$aKortaberria, Gorka 000061968 700__ $$aOlarra, Aitor 000061968 700__ $$0(orcid)0000-0001-7152-4117$$aYagüe-Fabra, Jose A.$$uUniversidad de Zaragoza 000061968 7102_ $$15002$$2515$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Ing. Procesos Fabricación 000061968 773__ $$g17 (2017), 1605 [38 pp]$$pSensors$$tSENSORS$$x1424-8220 000061968 8564_ $$s6572662$$uhttps://zaguan.unizar.es/record/61968/files/texto_completo.pdf$$yVersión publicada 000061968 8564_ $$s107274$$uhttps://zaguan.unizar.es/record/61968/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000061968 909CO $$ooai:zaguan.unizar.es:61968$$particulos$$pdriver 000061968 951__ $$a2019-11-05-11:50:11 000061968 980__ $$aARTICLE