| Cutting conditions modeling and optimization in hard turning using RSM, ANN and desirability function A Labidi, H Tebassi, S Belhadi, R Khettabi, MA Yallese Journal of Failure Analysis and Prevention 18, 1017-1033, 2018 | 49 | 2018 |
| On the modeling of surface roughness and cutting force when turning of Inconel 718 using artificial neural network and response surface methodology: accuracy and benefit H Tebassi, MA Yallese, I Meddour, F Girardin, T Mabrouki Periodica Polytechnica Mechanical Engineering 61 (1), 1-11, 2017 | 48 | 2017 |
| Multi-objective optimization of surface roughness, cutting forces, productivity and Power consumption when turning of Inconel 718 H Tebassi, M Yallese, R Khettabi, S Belhadi, I Meddour, F Girardin International Journal of Industrial Engineering Computations 7 (1), 111-134, 2016 | 38 | 2016 |
| Quality-productivity decision making when turning of Inconel 718 aerospace alloy: A response surface methodology approach H Tebassi, M Yallese, S Belhadi, F Girardin, T Mabrouki International Journal of Industrial Engineering Computations 8 (3), 347-362, 2017 | 19 | 2017 |
| A new method for evaluation nominal coefficient of friction and frictional forces in turning and inserts characterization using cutting forces profiles H Tebassi, M Yallese, I Meddour Engineering Solid Mechanics 4 (1), 1-10, 2016 | 8 | 2016 |
| Optimization and Machinability Assessment at the Optimal Solutions Across Taguchi OA, GRA, and BBD: An Overall View H Tebassi, MA Yallese, S Belhadi Arabian Journal for Science and Engineering 48 (9), 12455-12483, 2023 | 3 | 2023 |
| Modeling and optimization of cutting parameters when turning EN-AW-1350 aluminum alloy F Khrouf, H Tebassi, MA Yallese, K Chaoui, A Haddad International Journal of Applied Mechanics and Engineering 27 (2), 124-142, 2022 | 1 | 2022 |
| Single and multiple quality characteristics optimization, expanded to the machinability assessment at the optimal cutting combinations across Taguchi OA, GRA and BBD: an … H Tebassi, MA Yallese, S Belhadi | | 2022 |
| RSM and ANN based models in turning process: Adequacy and precision benefit H TEBASSI, S BOUCHERIT, MA YALLESE, I MEDDOUR, S BELHADI | | 2017 |
| Etude de l’usinabilité de l’Inconel 718 H TEBASSI | | 2009 |
| Usinabilité des matériaux refractoires (super alliages refractorrs) H TEBASSI Université 8 mai 1945 de Guelma, 0 | | |
| Modeling and Optimization of Flank Wear, Surface Roughness and Cutting Force in Hard Turning Using RSM, ANN and Desirability Function A Labidi, H Tebassi, S Behadi, R Khettabi, MA Yallese | | |
Salim BELHADILaboratoire LMS université du 8 Mai 1945, Guelma,Adresse e-mail validée de univ-guelma.dz
