Monte Carlo method to machine tool uncertainty evaluation
Aguado Jiménez, Sergio (Universidad de Zaragoza) ; Pérez Muñoz, Pablo (Universidad de Zaragoza) ; Albajez García, José Antonio (Universidad de Zaragoza) ; Velázquez Sancho, Jesús (Universidad de Zaragoza) ; Santolaria Mazo, Jorge (Universidad de Zaragoza)
Resumen: Currently machine tools are not only a way to make different parts based on material removal processes. These ones can be used as a measurement system too. In this way, overall inspection time is reduced and equipment productivity is increased.
Nevertheless, the use of machine tool probes as measurement tool in manufacturing parts required previous works. Firstly, the machine tool accuracy should be improved, in order to reduce the influence of its geometric errors. This way, volumetric verification based on laser tracker measurement has increased strongly in the last few years, especially in long range machine tools. Secondly, calibration uncertainty should be calculated to provide measurement uncertainty.
This way, the paper presents a new tool able to analyze the effect of different influence verification parameters in calibration uncertainty based on Monte Carlo method. Using real tests carried out on a milling machine and its geometric errors, the influence or laser tracker measurement noise in calibration uncertainty is studied using Monte Carlo method.
Idioma: Inglés
DOI: 10.1016/j.promfg.2017.09.105
Año: 2017
Publicado en: Procedia Manufacturing 13 (2017), 585-592
ISSN: 2351-9789
Factor impacto SCIMAGO: 0.201 - Industrial and Manufacturing Engineering (Q3) - Artificial Intelligence (Q3)
Financiación: info:eu-repo/grantAgreement/ES/DGA/T62
Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2013-46979-C2-1-P
Tipo y forma: Article (Published version)
Área (Departamento): Proy. investigación HHA (Dpto. Ingeniería Diseño Fabri.)
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 (2019-07-09-12:08:25)
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Nevertheless, the use of machine tool probes as measurement tool in manufacturing parts required previous works. Firstly, the machine tool accuracy should be improved, in order to reduce the influence of its geometric errors. This way, volumetric verification based on laser tracker measurement has increased strongly in the last few years, especially in long range machine tools. Secondly, calibration uncertainty should be calculated to provide measurement uncertainty.
This way, the paper presents a new tool able to analyze the effect of different influence verification parameters in calibration uncertainty based on Monte Carlo method. Using real tests carried out on a milling machine and its geometric errors, the influence or laser tracker measurement noise in calibration uncertainty is studied using Monte Carlo method.
Idioma: Inglés
DOI: 10.1016/j.promfg.2017.09.105
Año: 2017
Publicado en: Procedia Manufacturing 13 (2017), 585-592
ISSN: 2351-9789
Factor impacto SCIMAGO: 0.201 - Industrial and Manufacturing Engineering (Q3) - Artificial Intelligence (Q3)
Financiación: info:eu-repo/grantAgreement/ES/DGA/T62
Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2013-46979-C2-1-P
Tipo y forma: Article (Published version)
Área (Departamento): Proy. investigación HHA (Dpto. Ingeniería Diseño Fabri.)
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 (2019-07-09-12:08:25)
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Record created 2018-01-31, last modified 2019-07-09