75435 20200117212656.0 doi 10.1016/j.measurement.2017.08.029 sideral 101557 ART-2018-101557 eng Mendikute, A. Self-calibration technique for on-machine spindle-mounted vision systems 2018 Access copy available to the general public Unrestricted On-machine measuring (OMM) systems are being more and more applied in machine tools in order to measure workpieces on the machine itself. Many of these systems are directly mounted in the machine spindle, so the measuring uncertainty is affected by clamping positioning and orientation variations, especially when integrating optical systems based on machine vision. This paper presents a self-calibration technique for vision systems by using redundant information of on machine measurements, avoiding extra mechanical anchoring or calibration means. It has been applied to a vision system with the angular placement uncertainty of a tool holder coupling being the main uncertainty contributor. A milling machine pilot case has been selected for demonstration, showing an effective self-calibration capability both in laboratory and industrial conditions. info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 2.791 2018 ENGINEERING, MULTIDISCIPLINARY 23 / 88 = 0.261 2018 Q2 T1 INSTRUMENTS & INSTRUMENTATION 17 / 61 = 0.279 2018 Q2 T1 0.724 2018 Applied Mathematics 2018 Q1 Condensed Matter Physics 2018 Q1 Statistics and Probability 2018 Q1 Electrical and Electronic Engineering 2018 Q1 Instrumentation 2018 Q1 Education 2018 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Leizea, I. (orcid)0000-0001-7152-4117 Yagüe-Fabra, J.A. Universidad de Zaragoza Zatarain, M. 5002 515 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Ing. Procesos Fabricación 113 (2018), 71-81 Measurement MEASUREMENT 0263-2241 1473478 http://zaguan.unizar.es/record/75435/files/texto_completo.pdf Postprint 111609 http://zaguan.unizar.es/record/75435/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:75435 articulos driver 2020-01-17-21:23:09 ARTICLE