Algorithm to optimize measurement system location in a machine tool verification
Aguado, Sergio (Universidad de Zaragoza) ; Pérez, Pablo (Universidad de Zaragoza) ; Albajez, José Antonio (Universidad de Zaragoza) ; Santolaria, Jorge (Universidad de Zaragoza) ; Velázquez, Jesús (Universidad de Zaragoza)
Resumen: Nowadays, machine tool accuracy is a competitive element. To improve it, machine tools are verified and compensate periodically reducing the influence of their geometric errors. As geometric errors have systematic behavior, their influence can be compensated after verification. However, verification itself is influenced by random uncertainty sources that affect verification results.
Within all influences on machine tool volumetric verification, laser tracker measurement noise is a random uncertainty source that is not usually considered. However, it should not be ignored and can be reduced through an adequate location. This paper presents an algorithm able to analyze the influence of laser tracker location, taking into consideration its specifications and machine tool characteristics. To do that, the developed algorithm provides a zone around MT to locate the measurement system using the Monte Carlo Method. Moreover, it provides the probability distribution function of laser tracker influence related to LT location zone. Therefore, if MT is used as a traceable measurement system, its uncertainty cannot be smaller than LT location uncertainty.
Idioma: Inglés
DOI: 10.1016/j.promfg.2019.10.042
Año: 2019
Publicado en: Procedia Manufacturing 41 (2019), 1127-1134
ISSN: 2351-9789
Factor impacto SCIMAGO: 0.516 - Industrial and Manufacturing Engineering (Q2) - Artificial Intelligence (Q2)
Financiación: info:eu-repo/grantAgreement/ES/DGA/T56-17R
Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2017-90106-R
Tipo y forma: Article (Published version)
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.
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Within all influences on machine tool volumetric verification, laser tracker measurement noise is a random uncertainty source that is not usually considered. However, it should not be ignored and can be reduced through an adequate location. This paper presents an algorithm able to analyze the influence of laser tracker location, taking into consideration its specifications and machine tool characteristics. To do that, the developed algorithm provides a zone around MT to locate the measurement system using the Monte Carlo Method. Moreover, it provides the probability distribution function of laser tracker influence related to LT location zone. Therefore, if MT is used as a traceable measurement system, its uncertainty cannot be smaller than LT location uncertainty.
Idioma: Inglés
DOI: 10.1016/j.promfg.2019.10.042
Año: 2019
Publicado en: Procedia Manufacturing 41 (2019), 1127-1134
ISSN: 2351-9789
Factor impacto SCIMAGO: 0.516 - Industrial and Manufacturing Engineering (Q2) - Artificial Intelligence (Q2)
Financiación: info:eu-repo/grantAgreement/ES/DGA/T56-17R
Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2017-90106-R
Tipo y forma: Article (Published version)
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 (2023-09-21-13:30:38)
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Record created 2020-08-06, last modified 2023-09-21