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Items where Author is "Bitar-Nehme, Elie"

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Number of items: 15.

A

Azzi, M., Bitar-Nehme, E., & Sapieha, J.-E. (2014, November). Design of new multifunctional galling-corrosion testing apparatus [Paper]. ASME International Mechanical Engineering Congress & Exposition (IMECE 2014), Montréal, Québec (7 pages). External link

B

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. External link

Bitar-Nehme, E. (2017). Modélisation des erreurs thermiques des machines-outils numériques à cinq-axes [Ph.D. thesis, École Polytechnique de Montréal]. Available

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. External link

D

Desgagnes, L., Tangestani, R., Miao, H., Natarajan, A., Rudloff, R., Pendurti, S., Bitar-Nehme, E., & Martin, É. (2025, March). A Layer-By-Layer FEM Curing Model for Binder Jetting of 316L [Paper]. 154th Annual Meeting & Exhibition of The Minerals, Metals & Materials Society (TMS 2025), Las Vegas, NV, USA. Published in The minerals, metals & materials series. External link

K

Khazaee, S., Bitar-Nehme, E., Boukhili, R., Kostenov, J., Regnaud, W., & Martin, É. (2025). A Low-Viscosity, Recyclable Polymer-Based Binder Strategy for Metal FDM: Toward High Powder Loading, Sustainable Processing, and Comprehensive Characterization of 17-4PH Stainless Steel Parts. Polymers, 17(19), 2575. External link

Khazaee, S., Bitar-Nehme, E., Boukhili, R., Kostenov, J., Regnaud, W., & Martin, É. (2025, March). Development of an Environmentally Friendly and Low-Cost Binder for 17-4PH Metal Part Printing via Fused Deposition Modeling [Paper]. 154th Annual Meeting & Exhibition of The Minerals, Metals & Materials Society (TMS 2025), Las Vegas, NV, USA. Published in The minerals, metals & materials series. External link

M

Moradi, M., Arunkumar, S., Azzi, M., Bitar-Nehme, E., Natarajan, A., Khazaee, S., & Martin, É. (2026). Binder Jetting of Co-Cr-Mo Alloys for Biomedical Applications: A Tribocorrosion Perspective. Key Engineering Materials, 1038, 31-36. External link

Moradi, M., Karimialavijeh, H., Bitar-Nehme, E., & Martin, É. (2025, March). Printability and Green Mechanical Properties of Binder Jet Additive Manufactured Co–Cr–Mo Parts [Paper]. 154th Annual Meeting & Exhibition of The Minerals, Metals & Materials Society (TMS 2025), Las Vegas, NV, USA. Published in The minerals, metals & materials series. External link

N

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. External link

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. External link

R

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. External link

S

Sadallah, A., Miao, H., Changeux, B., Bitar-Nehme, E., Chakraborty, A., Turenne, S., & Martin, É. (2024, March). Effect of Shot Peening and High-Temperature Shot Peening on the High Cycle Fatigue of 7010-T7452 Aluminum Alloy [Paper]. Light Metals 2024 (TMS 2024), Orlando, FL, USA. External link

Z

Zeng, M., Feng, M., Mayer, J. R. R., Bitar-Nehme, E., & Duong, X. T. (2025). Machine learning models for predicting volumetric errors based on scale and master balls artefact probing data. CIRP Journal of Manufacturing Science and Technology, 59, 135-157. Available

Zeng, M., Mayer, J. R. R., Feng, M., Bitar-Nehme, E., & Truong Duong, X. (2025). Comparison of Two Machine Learning Models for Predicting Volumetric Errors From On-The-Fly R-Test Type Device Data and Virtual End Point Constraints. Journal of Machine Engineering, 25, 5-19. External link

List generated on: Sun Feb 15 19:16:52 2026 EST