151510 20251017144640.0 doi 10.3390/app15052600 sideral 143157 ART-2025-143157 eng Egaña, Fernando Generalising the Machine Tool Integrated Inverse Multilateration Method for the Ambient Thermal Error Analysis of Large Machine Tools in Industrial Environments 2025 Access copy available to the general public Unrestricted This study expands on prior research by generalising the machine tool integrated inverse multilateration methodology to evaluate ambient thermal effects on medium- and large-sized machine tools in industrial environments. This method integrates an absolute distance measurement device into the machine tool spindle, enabling an automated and robust multilateration scheme without requiring controlled environments, expensive thermal instruments, or specialised artifacts. Tests were conducted using a LEICA AT960™ laser tracker and wide-angle retro-reflectors (both from Hexagon Manufacturing Intelligence, Stockholm, Sweden) across two machine architectures, THERA™ (gantry type) and ZERO™ (bed type), building on earlier work with the ARION G™ (bridge type), all of them MTs manufactured by Zayer (Vitoria, Spain). Sequential experiments in varying ambient conditions demonstrated the reliability of the machine tool integrated inverse multilateration approach over extended periods, showing strong correlations between the measured errors and temperature variations. The results were validated using a first-order mathematical model and finite element method simulations, confirming thermal error evolution as a function of ambient temperature changes. This method’s adaptability to diverse machine architectures and industrial conditions highlights its potential for characterising and mitigating thermal errors in large machine tools. This work underscores the method’s effectiveness and utility for advancing thermal error analysis in practical manufacturing settings. info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Mutilba, Unai Yagüe-Fabra, José A. Universidad de Zaragoza (orcid)0000-0001-7152-4117 Chekh, B. Ahmed Lopez, Susana 5002 515 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Ing. Procesos Fabricación 15, 5 (2025), 2600 [25 pp.] Appl. sci. Applied Sciences (Switzerland) 2076-3417 12782015 http://zaguan.unizar.es/record/151510/files/texto_completo.pdf Versión publicada 2702323 http://zaguan.unizar.es/record/151510/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:151510 articulos driver 2025-10-17-14:31:25 ARTICLE