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: Artículo (Versión definitiva)

Área (Departamento): Área Ing. Procesos Fabricación (Dpto. Ingeniería Diseño Fabri.)