Measurement uncertainty associated with the performance of machine tool under quasi-static loaded test condition
2017 (English)In: Laser Metrology and Machine Performance XII / [ed] L. Blunt & W. Knapp, Renishaw Innovation Centre, UK, 2017Conference paper (Refereed)
For proper characterisation of different physical quantities in machine tools, it is necessary to report the uncertainties associated to the measurements. The uncertainty evaluation, according to international standards, expresses information of the quality and the reliability of the measurement result. Applications like calibration and compensation are sensitive for the quality of the input data, thus the reliability of the characterisation results need to be interpreted accurately to avoid significant residual errors or overcompensation. General approaches take several factors into consideration during the estimation of measurement uncertainty such as the environmental variations or the uncertainties of the measurement device or the setup. At the same time, various reproducible and non-reproducible error sources associated to the performance testing of the machine tool are ignored. The reason behind it can be the lack of the applicable standardized measurement instruments.
This paper highlights the significance of the uncertainty sources connected to the performance of the machine tool under quasi-static loaded condition. The variation of the static stiffness of machine tools, the hysteresis and play in the system can be even more significant uncertainty sources than the above mentioned ones. Under the framework of elastically linked systems (ELS), a circular test device, the loaded double ball bar (LDBB), is used in a case study to identify this effect. The LDBB can be used as a double ball bar, with the additional capability of applying a load, thus it enables the measurement of machine tool deviations under quasi-static loaded conditions. A measurement methodology is proposed to properly describe and demonstrate the variation of the contributing uncertainties associated with repeatability performance of the machine tool. With this approach important interdependencies can be expressed as uncertainty sources.
Place, publisher, year, edition, pages
Renishaw Innovation Centre, UK, 2017.
Production Engineering, Human Work Science and Ergonomics
Research subject SRA - Production
IdentifiersURN: urn:nbn:se:kth:diva-203967OAI: oai:DiVA.org:kth-203967DiVA: diva2:1083419
Lamdamap 12th International Conference & Exhibition,15th-16th March 2017, Renishaw Innovation Centre, UK
FunderXPRES - Initiative for excellence in production research
QC 201703222017-03-212017-03-212017-03-22Bibliographically approved