000133428 001__ 133428
000133428 005__ 20240416133904.0
000133428 0247_ $$2doi$$a10.3390/s24072380
000133428 0248_ $$2sideral$$a138155
000133428 037__ $$aART-2024-138155
000133428 041__ $$aeng
000133428 100__ $$aEgaña, Fernando
000133428 245__ $$aA Novel Methodology for Measuring Ambient Thermal Effects on Machine Tools
000133428 260__ $$c2024
000133428 5060_ $$aAccess copy available to the general public$$fUnrestricted
000133428 5203_ $$aLarge machine tools are critically affected by ambient temperature fluctuations, impacting their performance and the quality of machined products. Addressing the challenge of accurately measuring thermal effects on machine structures, this study introduces the Machine Tool Integrated Inverse Multilateration method. This method offers a precise approach for assessing geometric error parameters throughout a machine’s working volume, featuring a low level of uncertainty and high speed suitable for effective temperature change monitoring. A significant innovation is found in the capability to automatically realise the volumetric error characterisation of medium- to large-sized machine tools at intervals of 40–60 min with a measurement uncertainty of 10 µm. This enables the detailed study of thermal errors which are generated due to variations in ambient temperature over extended periods. To validate the method, an extensive experimental campaign was conducted on a ZAYER Arion G™ large machine tool using a LEICA AT960™ laser tracker with four wide-angle retro-reflectors under natural workshop conditions. This research identified two key thermal scenarios, quasi-stationary and changing environments, providing valuable insights into how temperature variations influence machine behaviour. This novel method facilitates the optimization of machine tool operations and the improvement of product quality in industrial environments, marking a significant advancement in manufacturing metrology.
000133428 536__ $$9info:eu-repo/grantAgreement/EC/H2020/958357/EU/Interlinked Process, Product and Data Quality framework for Zero-Defects Manufacturing/InterQ$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 958357-InterQ
000133428 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000133428 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000133428 700__ $$aMutilba, Unai
000133428 700__ $$0(orcid)0000-0001-7152-4117$$aYagüe-Fabra, José A.$$uUniversidad de Zaragoza
000133428 700__ $$aGomez-Acedo, Eneko
000133428 7102_ $$15002$$2515$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Ing. Procesos Fabricación
000133428 773__ $$g24, 7 (2024), 2380 [24 pp.]$$pSensors$$tSensors$$x1424-8220
000133428 8564_ $$s4299584$$uhttps://zaguan.unizar.es/record/133428/files/texto_completo.pdf$$yVersión publicada
000133428 8564_ $$s2724085$$uhttps://zaguan.unizar.es/record/133428/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000133428 909CO $$ooai:zaguan.unizar.es:133428$$particulos$$pdriver
000133428 951__ $$a2024-04-16-13:15:15
000133428 980__ $$aARTICLE