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  • Machine tool integrated inv...
    Egaña, F.; Yagüe-Fabra, J.A.; Mutilba, U.; Vez, S.

    CIRP annals, 2021, 2021-00-00, Letnik: 70, Številka: 1
    Journal Article

    Thermal effects on an uncontrolled manufacturing environment are the main barrier for accurate large machine tools. Internal and external heat sources combined with different expansion coefficients result in a constant thermal drift of the machine's structural loop. Thus, a characterisation method remains a challenge. This work presents a new methodology for the uncertainty assessment of a Machine Tool Integrated Inverse Multilateration approach where the ambient temperature variation is demonstrated to be a major uncertainty contributor. An “a priori” Monte-Carlo simulation-based research allows developing an appropriate measurement strategy for the use of the proposed approach minimising the influence of thermal issues.