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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1016/j.precisioneng.2019.03.005</dc:identifier><dc:language>eng</dc:language><dc:creator>Mutilba, Urai</dc:creator><dc:creator>Gómez-Acebo, Eneko</dc:creator><dc:creator>Sandá, Alejandro</dc:creator><dc:creator>Vega, Ibon</dc:creator><dc:creator>Yagüe-Fabra, José A.</dc:creator><dc:title>Uncertainty assessment for on-machine tool measurement: An alternative approach to the ISO 15530-3 technical specification</dc:title><dc:identifier>ART-2019-112468</dc:identifier><dc:description>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.</dc:description><dc:date>2019</dc:date><dc:source>http://zaguan.unizar.es/record/88270</dc:source><dc:doi>10.1016/j.precisioneng.2019.03.005</dc:doi><dc:identifier>http://zaguan.unizar.es/record/88270</dc:identifier><dc:identifier>oai:zaguan.unizar.es:88270</dc:identifier><dc:identifier.citation>Precision Engineering 57 (2019), 45-53</dc:identifier.citation><dc:rights>by-nc-nd</dc:rights><dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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