88270 20200716101427.0 doi 10.1016/j.precisioneng.2019.03.005 sideral 112468 ART-2019-112468 eng (orcid)0000-0002-4157-5666 Mutilba, Urai Uncertainty assessment for on-machine tool measurement: An alternative approach to the ISO 15530-3 technical specification 2019 Access copy available to the general public Unrestricted Touch probes are commonly employed in new machine tools (MTs), and enable machining and measuring processes to occur on the same MT. They offer the potential to measure components, either during or after the machining process, providing traceability of the quality inspection on the MT. Nevertheless, there are several factors that affect measurement accuracy on shop-floor conditions, such as MT geometric errors, temperature variation, probing system, vibrations and dirt. Thus, the traceability of a measurement process on an MT is not guaranteed and measurement results are therefore not sufficiently reliable for self-adapting manufacturing processes. The current state-of-the-art approaches employ a physically calibrated workpiece to realise traceable on-MT measurement according to the ISO 15530-3 technical specification, but it has a significant limitation in that it depends on a physical workpiece to understand the performance of the systematic error contributor (u b ). To this end, the aim of this paper is to propose an alternative methodology for on-MT uncertainty assessment without using a calibrated workpiece. The proposed approach is based on a volumetric error mapping of the MT prior to the measurement process, which provides an understanding of how the systematic error contributor(u b)performs. info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 3.108 2019 1.226 2019 ENGINEERING, MANUFACTURING 19 / 50 = 0.38 2019 Q2 T2 Engineering (miscellaneous) 2019 Q1 INSTRUMENTS & INSTRUMENTATION 16 / 64 = 0.25 2019 Q1 T1 Nanoscience and Nanotechnology 2019 Q2 ENGINEERING, MULTIDISCIPLINARY 24 / 91 = 0.264 2019 Q2 T1 NANOSCIENCE & NANOTECHNOLOGY 54 / 103 = 0.524 2019 Q3 T2 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Gómez-Acebo, Eneko Sandá, Alejandro Vega, Ibon (orcid)0000-0001-7152-4117 Yagüe-Fabra, José A. Universidad de Zaragoza 5002 515 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Ing. Procesos Fabricación 57 (2019), 45-53 Precis. eng. Precision Engineering 0141-6359 770156 http://zaguan.unizar.es/record/88270/files/texto_completo.pdf Postprint 506606 http://zaguan.unizar.es/record/88270/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:88270 articulos driver 2020-07-16-08:46:20 ARTICLE