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Sadallah, A., Miao, H.-Y., Changeux, B., Bitar-Nehme, E., Chakraborty, A., Turenne, S., & Martin, É. (mars 2024). Effect of Shot Peening and High-Temperature Shot Peening on the High Cycle Fatigue of 7010-T7452 Aluminum Alloy [Communication écrite]. Light Metals 2024 (TMS 2024), Orlando, FL, USA. Lien externe
Ngoc, H. V., Mayer, J. R. R., & Bitar-Nehme, E. (2023). Deep Learning to Directly Predict Compensation Values of Thermally Induced Volumetric Errors. Machines, 11(4), 16 pages. 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
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
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
Bitar-Nehme, E. (2017). Modélisation des erreurs thermiques des machines-outils numériques à cinq-axes [Thèse de doctorat, École Polytechnique de Montréal]. Disponible
Bitar-Nehme, E., & Mayer, J. R. R. (2016). Thermal volumetric effects under axes cycling using an invar R-test device and reference length. International Journal of Machine Tools and Manufacture, 105, 14-22. Lien externe
Azzi, M., Bitar-Nehme, E., & Sapieha, J.-E. (novembre 2014). Design of new multifunctional galling-corrosion testing apparatus [Communication écrite]. ASME International Mechanical Engineering Congress & Exposition (IMECE 2014), Montréal, Québec (7 pages). Lien externe
