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Dr, Hamid Tebassi
Dr, Hamid Tebassi
Mechanics and Structures Research Laboratory (LMS), Guelma University.
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Title
Cited by
Cited by
Year
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
492018
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
482017
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
382016
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
192017
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
82016
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
32023
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
12022
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
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Articles 1–12