| Parameter identification of a mechanical ductile damage using Artificial Neural Networks in sheet metal forming F Abbassi, T Belhadj, S Mistou, A Zghal Materials & Design 45, 605-615, 2013 | 147 | 2013 |
| Automatic detection of welding defects using radiography with a neural approach NB Yahia, T Belhadj, S Brag, A Zghal Procedia Engineering 10, 671-679, 2011 | 28 | 2011 |
| Design of T-shaped tube hydroforming using finite element and artificial neural network modeling F Abbassi, F Ahmad, S Gulzar, T Belhadj, A Karrech, HS Choi Journal of Mechanical Science and Technology 34, 1129-1138, 2020 | 26 | 2020 |
| Influence of predeformation on microstructure evolution of superplastically formed Al 5083 alloy SM Chentouf, T Belhadj, N Bombardier, N Brodusch, R Gauvin, M Jahazi The International Journal of Advanced Manufacturing Technology 88, 2929-2937, 2017 | 9 | 2017 |
| Numerical analyses of tube hydroforming problem using artificial neural networks T Belhadj, F Abbassi, S Mistou, A Zghal International Journal of Material Forming 3, 295-298, 2010 | 6 | 2010 |
| Influence des paramètres de procédé sur la distorsion de grandes plaques d'aluminium formées par thermoformage: phase d'éjection T Belhadj, V Songmene, M Jahazi | | 2015 |
| Influence of reduction rate on the characteristics of cavities in superplastically formed 5083 aluminum alloy SM Chentouf, T Belhadj, N Bombardier, M Jahazi | | 2015 |
| Automation of the Choice of the Welding Processes by a Neuronal Approach T Belhadj, NB Yahia, A Zghal | | |
