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Bitar-Nehme, E., & Mayer, J. R. R. (2018). Modelling and compensation of dominant thermally induced geometric errors using rotary axes power consumption. CIRP Annals, 67(1), 547-550. Lien externe
Los, A., & Mayer, J. R. R. (2018). Application of the adaptive Monte Carlo method in a five-axis machine tool calibration uncertainty estimation including the thermal behavior. Precision Engineering, 53, 17-25. Lien externe
Rimpault, X., Bitar-Nehme, E., Balazinski, M., & Mayer, J. R. R. (2018). Online monitoring and failure detection of capacitive displacement sensor in a Capball device using fractal analysis. Measurement: Journal of the International Measurement Confederation, 118, 23-28. Lien externe
Xing, K., Achiche, S., Esmaeili, S., & Mayer, J. R. R. (octobre 2018). Comparison of direct and indirect methods for five-axis machine tools geometric error measurement [Communication écrite]. 6th CIRP Global Web Conference – Envisaging the future manufacturing, design, technologies and systems in innovation era (CIRPe 2018). Publié dans Procedia CIRP, 78. Disponible
Xing, K., Mayer, J. R. R., & Achiche, S. (2018). Machine tool volumetric error features extraction and classification using principal component analysis and K-means. Journal of Manufacturing and Materials Processing, 2(3). Disponible
