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Beglarzadeh, B., Mayer, J. R. R., & Archenti, A. (2022). Estimation of an elasto-geometric model exploiting a loaded circular test on a machine tool. International Journal of Advanced Manufacturing Technology, 123(7-8), 2331-2349. Lien externe
Mechta, A., Slamani, M., Zaoui, M., Mayer, J. R. R., & Chatelain, J.-F. (2022). Correlation assessment and modeling of intra-axis errors of prismatic axes for CNC machine tools. International Journal of Advanced Manufacturing Technology, 120(7-8), 5093-5115. Lien externe
Ngoc, H. V., Mayer, J. R. R., & Bitar-Nehme, E. (2022). Deep learning LSTM for predicting thermally induced geometric errors using rotary axes powers as input parameters. CIRP Journal of Manufacturing Science and Technology, 37, 70-80. Lien externe
Sepahi-Boroujeni, S., Mayer, J. R. R., & Khameneifar, F. (juillet 2021). Prompt uncertainty estimation with GUM framework for on-machine tool coordinate metrology [Communication écrite]. 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME 2021), Gulf on Naples, Italy (5 pages). Publié dans Procedia CIRP, 112. Lien externe
