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Mohamed Elbah

Comparative assessment of wiper and conventional ceramic tools on surface roughness in hard turning AISI 4140 steel
2013 · Mohamed Elbah, Mohamed Athmane Yallese, et al. · Measurement · 142
Machinability investigation in hard turning of AISI D3 cold work steel with ceramic tool using response surface methodology
2014 · H. Aouici, H. Bouchelaghem, et al. · The International Journal of Advanced Manufacturing Technology · 97
Investigation and modeling of cutting forces and surface roughness when hard turning of AISI 52100 steel with mixed ceramic tool: cutting conditions optimization
2014 · I. Meddour, M. A. Yallese, et al. · The International Journal of Advanced Manufacturing Technology · 93
Prediction of surface roughness and cutting forces using RSM, ANN, and NSGA-II in finish turning of AISI 4140 hardened steel with mixed ceramic tool
2018 · Ikhlas Meddour, Mohamed Athmane Yallese, et al. · The International Journal of Advanced Manufacturing Technology · 87
Comparative assessment of two ceramic cutting tools on surface roughness in hard turning of AISI H11 steel: including 2D and 3D surface topography
2016 · A. Khellaf, H. Aouici, et al. · The International Journal of Advanced Manufacturing Technology · 51
Comparative assessment of machining environments (dry, wet and MQL) in hard turning of AISI 4140 steel with CC6050 tools
2019 · M. Elbah, H. Laouici, et al. · The International Journal of Advanced Manufacturing Technology · 50
Experimental investigation of cutting parameters influence on surface roughness and cutting forces in hard turning of X38CrMoV5-1 with CBN tool
2013 · H AOUICI, M A YALLESE, et al. · Sadhana · 41
Performance comparison of wiper and conventional ceramic inserts in hard turning of AISI 4140 steel: analysis of machining forces and flank wear
2016 · H. Aouici, M. Elbah, et al. · The International Journal of Advanced Manufacturing Technology · 36
Surface roughness evaluation of various cutting materials in hard turning of AISI H11
2015 · H. Aouici, B. Fnides, et al. · International Journal of Industrial Engineering Computations · 23
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Comparison on various machinability aspects between mixed and reinforced ceramics when machining hardened steels
2019 · Hamdi Aouici, Mohamed Elbah, et al. · Mechanics & Industry · 17
Comparative assessment of coated and uncoated ceramic tools on cutting force components and tool wear in hard turning of AISI H11 steel using Taguchi plan and RMS
2017 · H Aouici, A Khellaf, et al. · Sadhana · 15
Enhancing the hard turning performance of AISI 02 steel with CuO nanocutting fluids
2025 · Mohamed Bacha, Mohamed Elbah, et al. · The International Journal of Advanced Manufacturing Technology · 12
Development of an adaptive tool condition monitoring system: integration of case-based reasoning with CNN
2025 · Oussama Dahmoune, Ikhlas Meddour, et al. · Journal of Intelligent Manufacturing · 10
Application of response surface methodology in describing the performance of mixed ceramic tool when turning AISI 4140 steel
2016 · Mohamed Elbah, Hamdi Aouici, et al. · Mechanics & Industry · 10
Comparison between mixed ceramic and reinforced ceramic tools in terms of cutting force components modelling and optimization when machining hardened steel AISI 4140 (60 HRC)
2015 · B. Fnides, H. Aouici, et al. · Mechanics & Industry · 10
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The effect of sodium bicarbonate treatment on tensile properties of jute yarns as potential reinforcement for industrial biocomposites: optimization using RSM
2026 · Sofiane Zerrouki, Hamdi Laouici, et al. · Iranian Polymer Journal · 1
Effects of cutting conditions in turning of annealed and treated Ti6Al4V titanium alloy: modelling and optimization using GA and MOAVOA methods
2025 · Hacene Sassi, Brahim Fnides, et al. · The International Journal of Advanced Manufacturing Technology · 1
Deep Transfer Learning and Data Augmentation for Automatic Flank Wear Detection and Classification
2025 · Mohamed ELBAH, Oussama DAHMOUNE, et al. · Research Square
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Deep Transfer Learning and Data Augmentation for Automatic Flank Wear Detection and Classification
2025 · Oussama Dahmoune, Mohamed Elbah, et al. · SSRN Electronic Journal
Deep Transfer Learning and Data Augmentation for Automatic Flank Wear Detection and Classification
2025 · Oussama Dahmoune, Mohamed Elbah, et al. · SSRN Electronic Journal
Works count: 20
Citation count: 696
H-index: 12
I10-index: 15
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