Self-calibration technique for on-machine spindle-mounted vision systems
Mendikute, A. ; Leizea, I. ; Yagüe-Fabra, J.A. (Universidad de Zaragoza) ; Zatarain, M.
Resumen: 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.
Idioma: Inglés
DOI: 10.1016/j.measurement.2017.08.029
Año: 2018
Publicado en: MEASUREMENT 113 (2018), 71-81
ISSN: 0263-2241
Factor impacto JCR: 2.791 (2018)
Categ. JCR: ENGINEERING, MULTIDISCIPLINARY rank: 23 / 88 = 0.261 (2018) - Q2 - T1
Categ. JCR: INSTRUMENTS & INSTRUMENTATION rank: 17 / 61 = 0.279 (2018) - Q2 - T1
Factor impacto SCIMAGO: 0.724 - Applied Mathematics (Q1) - Condensed Matter Physics (Q1) - Statistics and Probability (Q1) - Electrical and Electronic Engineering (Q1) - Instrumentation (Q1) - Education (Q1)
Tipo y forma: Article (PostPrint)
Área (Departamento): Área Ing. Procesos Fabricación (Dpto. Ingeniería Diseño Fabri.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material.
Exportado de SIDERAL (2020-01-17-21:23:09)
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Idioma: Inglés
DOI: 10.1016/j.measurement.2017.08.029
Año: 2018
Publicado en: MEASUREMENT 113 (2018), 71-81
ISSN: 0263-2241
Factor impacto JCR: 2.791 (2018)
Categ. JCR: ENGINEERING, MULTIDISCIPLINARY rank: 23 / 88 = 0.261 (2018) - Q2 - T1
Categ. JCR: INSTRUMENTS & INSTRUMENTATION rank: 17 / 61 = 0.279 (2018) - Q2 - T1
Factor impacto SCIMAGO: 0.724 - Applied Mathematics (Q1) - Condensed Matter Physics (Q1) - Statistics and Probability (Q1) - Electrical and Electronic Engineering (Q1) - Instrumentation (Q1) - Education (Q1)
Tipo y forma: Article (PostPrint)
Área (Departamento): Área Ing. Procesos Fabricación (Dpto. Ingeniería Diseño Fabri.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material. Exportado de SIDERAL (2020-01-17-21:23:09)
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Record created 2018-10-16, last modified 2020-01-17