Tarek MABROUKI

Tarek Mabrouki is working as Professor (full) in Mechanical Engeneering at ENIT "National Engineering School of Tunis"​, member of the "University of Tunis El Manar"​.

Previously, he was Professor at "INSA de Lyon"​ for 12 years ago and a senior lecturer at ENSAM ParisTech, for 3 Years. He received his Ph.D degree from "Arts et Métiers ParisTech"​, Paris, France, in 2000. He also obtained the "Habilitation à Diriger des Recherches en sciences, abbreviated "HDR"​, which is a French diploma of "accreditation to supervise research"​, from both INSA de Lyon and University of Claude Bernard (Lyon 1). Tarek Mabrouki has received a M.S. degree (DEA) from "Université Pierre et Marie Curie"​ Paris VI, France, in 1996 and an Engineer Diploma (bac+6), from "Ecole Nationale d'Ingénieurs de Sfax" (ENIS), in 1995. His main research interests include the study of manufacturing processes: machining, Waterjet cutting, material forming, additive manufacturing, modelling and simulation.

RESEARCH INTERESTS

Include modelling of coupled physical phenomena applied to the numerical simulation of manufacturing processes: machining, Waterjet cutting, material forming, additive manufacturing, modelling and simulation

Scopus Publications

Experimental investigation on the performance of ceramics and CBN cutting materials during dry machining of cast iron: Modeling and optimization study using RSM, ANN, and GA
Boutheyna Gasmi, Mohamed Athmane Yallese, Septi Boucherit, Salim Chihaoui, and Tarek Mabrouki
SAGE Publications
This study focuses on the performance evaluation of CBN and ceramic tools in dry machining of gray cast iron EN GJL-350. The machining factors taken into account during turning are: cutting speed ( Vc), feed rate ( f), depth of cut ( ap), and cutting tool material (CBN, white ceramic, mixed ceramic, and silicon nitride). The first part of this investigation concerns the evaluation of the four cutting materials performance used in terms of tool wear evolutions, 2D and 3D surface roughness and cutting forces variation according to working parameters. The second part exposes the results according to L32 Taguchi design of experiment. Statistical treatment by ANOVA allowed to quantify the impact of the input factors on the performance parameters, namely the surface roughness ( Ra), the cutting force ( Fz), the cutting power ( Pc), and the specific cutting energy ( Ecs). The response surface methodology (RSM), and the artificial neural network (ANN) approach were adopted to develop mathematical models for predicting the different output parameters. The results of the two methods were compared and discussed. A multi-criteria optimization was performed using the desirability function (DF) approach. The genetic algorithm (GA) was also applied to find pareto fronts. The results found show that CBN is the most efficient material in terms of lower tool wear, surface roughness and cutting forces. The DF method allowed to find an optimal combination ( Vc = 660 m/min, f = 0.13 mm/rev, ap = 0.232 mm, and the CBN material) leading to a compromise between the minimization of ( Ra, Fz, Pc, and Ecs) and the maximization of (MRR). The Pareto fronts found by the (GA) method make it possible to propose a multitude of solutions according to the desired objectives.


Analysis, modelling and optimization during sustainable Dry and MQL turning of AISI 52100 steel using DF, GRA, EAMR, EDAS and FUCA methods
Chaima Souaidi, Mohamed Athman Yallese, Abdelaziz Amirat, Salim Belhadi, and Tarek Mabrouki
Springer Science and Business Media LLC



A comparative study on microstructure and mechanical properties of 17-4PH processed by a laser powder bed fusion vs rolling process
Thabet A. M. Sghaier, Habib Sahlaoui, Tarek Mabrouki, Haifa Sallem, and Joël Rech
Springer Science and Business Media LLC
AbstractThis study provides a comprehensive benchmark comparison of microstructure, mechanical properties, and their evolution during subsequent heat treatment of 17-4PH Martensitic stainless steel (MSS) processed by laser powder bed fusion (LPBF) and its commercially rolled counterparts. The results reveal that LPBF samples exhibit a finer martensitic microstructure with presence of structural defects, pores, and some non-metallic inclusions randomly distributed at the grain boundaries and within the grains and an almost absence of austenite, compared to rolled samples. Additionally, after identical heat treatment, LPBF samples maintain a relatively unchanged microstructure while aging of rolled samples leads to a reduction in martensite in favor of austenite and Cu- and Si-rich precipitates. The LPBF samples demonstrate slightly elevated hardness (HV0.5 + 20%), mechanical strength (UTS + 15%) compared to rolled ones. Nevertheless, LPBF samples display a distinct behavior, characterized by abrupt fracture and reduced elongation at failure (El% max. 4% vs. 17.5%). Specifically, failure in LPBF samples is attributed to cleavage and cavities’ coalescence contrasting with the progressive failure mechanism observed in rolling ones driven by plasticity and damage evolution. Furthermore, the impact resistance of LPBF samples is notably weak (K max. 12.5 J/cm2 vs. 155 J/cm2), which is likely caused by macro- and microstructural defects generated by the LPBF process and the nucleation of harmful precipitates. The study proposes that the ductility of LPBF samples could be improved by implementing appropriate heat treatment and reducing defects through parameter optimization and by specific thermal cycle control during the LPBF process.


Contribution to the Formulation of a Material Based on Marble Waste for Its Use in 3D Printing in Civil Engineering
Habib Zargayouna, Essaieb Hamdi, and Tarek Mabrouki
Springer Nature Switzerland



Mechanical Properties of Additively Manufactured 17-4PH SS: Heat Treatment
Thabet A. M. Sghaier, Habib Sahlaoui, Tarek Mabrouki, Haifa Sallem, and Joël Rech
Springer Nature Switzerland



Effect of Printing Process Parameters on the Tensile Behavior of FDM-Built Parts
Asma Belhadj, Salma Slama, Mouhamed Hichem Habouba, and Tarek Mabrouki
Springer Nature Switzerland



Experimental Study of Morphological Defects Generated by SLM on 17-4PH Stainless Steel
Thabet A. M. Sghaier, Habib Sahlaoui, Haifa Sallem, Tarek Mabrouki, and Joël Rech
Springer Nature Switzerland



Preface




Tool Temperature Distribution in Orthogonal Cutting Using Finite Element Thermal Analysis
Wahid Tarhouni, Hassen Khlifi, Lefi Abdellaoui, Mihed Ben Said, Tarek Mabrouki, and Wassila Bouzid Saï
Springer Nature Switzerland



Investigation of machining quality indicators and effect of tool geometry parameters during the machining of difficult-to-machine metal
Farooq Ahmed, Furqan Ahmad, Fethi Abbassi, S. Thirumalai Kumaran, and Tarek Mabrouki
Elsevier BV



Selective Laser Melting of Stainless-Steel: A Review of Process, Microstructure, Mechanical Properties and Post-Processing treatments
Thabet A. M. Sghaier, Habib Sahlaoui, Tarek Mabrouki, Haifa Sallem, and Joël Rech
Springer Science and Business Media LLC



3D parametric thermal finite element model in turning
Wahid Tarhouni, Lefi Abdellaoui, Hassen Khlifi, Mihed Ben Said, Tarek Mabrouki, and Wassila Bouzid Sai
Springer Science and Business Media LLC



Machinability investigation of gray cast iron in turning with ceramics and CBN tools: Modeling and optimization using desirability function approach




3D macro-mechanical FE simulation for GLARE® drilling with experimental validation
Imed Boughdiri, Tarek Mabrouki, Redouane Zitoune, Khaled Giasin, and Mohamed Faycal Ameur
Elsevier BV



MODELING OF CUTTING FORCE AND POWER CONSUMPTION USING ANN AND RSM METHODS IN TURNING OF AISI D3: COMPARATIVE STUDY AND PRECISION BENEFIT
Institute of Mechanics, Bulgarian Academy of Sciences



Multi-response Optimization of Turning Parameters with TOPSIS Method
Riadh Saidi, Tarek Mabrouki, Salim Belhadi, and Mohamed Athmane Yallese
Springer International Publishing



Comparative analyses and investigations of chamfered and honed-edge tool geometries on tool wear, chip morphology, residual stresses and end-burr formation
Muhammad Asad, Hassan Ijaz, Muhammad Azhar Ali Khan, Mushtaq Khan, Tarek Mabrouki, and Muhammad Usman Rashid
Elsevier BV



Parametric study and multi-criteria optimization during turning of X210Cr12 steel using the desirability function and hybrid Taguchi-WASPAS method
Khaoula Safi, Mohamed Athmane Yallese, Salim Belhadi, Tarek Mabrouki, and Salim Chihaoui
SAGE Publications
The present study examines the machining of a cold work tool steel (X210Cr12) using a triple chemical vapor deposition coated carbide tool (Al2O3/TiC/TiCN). The paper is focused on an experimental investigation as well as a modeling and optimization of the working cutting parameters in relationship with the studied material. For that, first, a set of experimental tests were built in order to evaluate the effect of cutting parameters (r, Vc, f, and ap) on the output parameters, namely surface roughness (Ra), cutting force (Fz), insert flank wear (Vb), and 3D roughness distribution. In a second step, a Taguchi L16 (4^3 2^1) design of experiment (DoE) was exploited with the aim to develop a modeling of output working parameters based on the response surface methodology. An optimization of the cutting conditions was performed using the desirability function (DF) approach and the hybrid Taguchi-weighted aggregate sum product assessment method. The desired objective is to obtain optimal cutting regime corresponding to the simultaneous minimization of parameters Ra and Fz, and maximization of material removal rate. The results found show that the factor f influences Ra with 42.55% and that parameter ap affects parameters Fz and Pc with 67.55 and 60.88%, respectively. For the DF and WASPAS methods, the optimal regimes selected is r = 1.6 mm, Vc = 366 m/min, ap = 0.17 mm, f = 0.16 mm/rev and r = 1.6 mm, Vc = 180 m/min, ap = 0.3 mm, and f = 0.08 mm/rev, respectively. The proposed work concerns all mechanical manufacturing companies, as it provides the necessary information on the optimal working conditions of the tool/material pair.


Tool wear, 3D surface topography, and comparative analysis of GRA, MOORA, DEAR, and WASPAS optimization techniques in turning of cold work tool steel
Khaoula Safi, Mohamed Athmane Yallese, Salim Belhadi, Tarek Mabrouki, and Aissa laouissi
Springer Science and Business Media LLC



Assessment of Surface Integrity and Dust While Drilling of GLARE^® FMLs
Imed Boughdiri, Tarek Mabrouki, Redouane Zitoune, and Khaled Giasin
Springer International Publishing



fEffect of cutting parameters on thrust force, torque, hole quality and dust generation during drilling of GLARE 2B laminates
Imed Boughdiri, Khaled Giasin, Tarek Mabrouki, and Redouane Zitoune
Elsevier BV



Multi-objective optimization of cutting parameters when machining cold work steel with CVD-coated carbide (Al2O3/TiC/TiCN)




Modeling and optimization of cutting parameters during machining of austenitic stainless steel AISI304 using RSM and desirability approach
Septi Boucherit, Sofiane Berkani, Mohamed Athmane Yallese, Riad Khettabi, and Tarek Mabrouki
Periodica Polytechnica Budapest University of Technology and Economics
In the current paper, cutting parameters during turning of AISI 304 Austenitic Stainless Steel are studied and optimized using Response Surface Methodology (RSM) and the desirability approach. The cutting tool inserts used in this work were the CVD coated carbide. The cutting speed (vc), the feed rate (f) and the depth of cut (ap) were the main machining parameters considered in this study. The effects of these parameters on the surface roughness (Ra), cutting force (Fc), the specific cutting force (Kc), cutting power (Pc) and the Material Removal Rate (MRR) were analyzed by ANOVA analysis.The results showed that f is the most important parameter that influences Ra with a contribution of 89.69 %, while ap was identified as the most significant parameter (46.46%) influence the Fc followed by f (39.04%). Kc is more influenced by f (38.47%) followed by ap (16.43%) and Vc (7.89%). However, Pc is more influenced by Vc (39.32%) followed by ap (27.50%) and f (23.18%).The Quadratic mathematical models, obtained by the RSM, presenting the evolution of Ra, Fc, Kc and Pc based on (vc, f, and ap) were presented. A comparison between experimental and predicted values presents good agreements with the models found.Optimization of the machining parameters to achieve the maximum MRR and better Ra was carried out by a desirability function. The results showed that the optimal parameters for maximal MRR and best Ra were found as (vc = 350 m/min, f = 0.088 mm/rev, and ap = 0.9 mm).


Modelling of macroscopic cutting forces in internal broaching of an X12Cr13 stainless steel
Dorian Fabre, Cédric Bonnet, Tarek Mabrouki, and Joël Rech
SAGE Publications
Broaching operations require stiff machine tools that have to withstand high cutting forces. This work aims to develop a methodology to predict the macroscopic cutting forces on a real, internal broaching operation comprising a large number of teeth. The macroscopic forces are estimated, based on the addition of local forces that are applied to each section and are simultaneously in contact with the broach. These local forces are calculated using a model of specific cutting pressure, depending on the rise per tooth. This study uses two methods to identify this specific cutting pressure model, that is, a direct approach based on orthogonal cutting tests and an inverse approach based on an instrumented broaching operation. It is shown that the direct method is effective in identifying a specific cutting pressure model and enables the prediction of macroscopic forces. Moreover, the direct approach provides more comprehensive results in terms of radial forces.


Effects of rolling ball tool parameters on roughness, sheet thinning, and forming force generated during SPIF process
Lassaad Kilani, Tarek Mabrouki, Mahfoudh Ayadi, Hechmi Chermiti, and Salim Belhadi
Springer Science and Business Media LLC

RECENT SCHOLAR PUBLICATIONS

Analysis, modelling and optimization during sustainable Dry and MQL turning of AISI 52100 steel using DF, GRA, EAMR, EDAS and FUCA methods
C Souaidi, MA Yallese, A Amirat, S Belhadi, T Mabrouki
The International Journal of Advanced Manufacturing Technology, 1-35 2024



A comparative study on microstructure and mechanical properties of 17-4PH processed by a laser powder bed fusion vs rolling process
TAM Sghaier, H Sahlaoui, T Mabrouki, H Sallem, J Rech
Progress in Additive Manufacturing, 1-17 2024



Experimental investigation on the performance of ceramics and CBN cutting materials during dry machining of cast iron: Modeling and optimization study using RSM, ANN, and GA
B Gasmi, MA Yallese, S Boucherit, S Chihaoui, T Mabrouki
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of 2024



Advances in Additive Manufacturing: Materials, Processes and Applications
T Mabrouki, H Sahlaoui, H Sallem, F Ghanem, N Benyahya
Springer 2024



Investigation of machining quality indicators and effect of tool geometry parameters during the machining of difficult-to-machine metal
F Ahmed, F Ahmad, F Abbassi, ST Kumaran, T Mabrouki
Results in Materials 20, 100487 2023



Check for updates
TAM Sghaier, H Sahlaoui, T Mabrouki, H Sallem, J Rech
Advances in Additive Manufacturing: Materials, Processes and Applications 2023



Selective laser melting of stainless-steel: a review of process, microstructure, mechanical properties and post-processing treatments
TAM Sghaier, H Sahlaoui, T Mabrouki, H Sallem, J Rech
International Journal of Material Forming 16 (4), 41 2023



3D parametric thermal finite element model in turning
W Tarhouni, L Abdellaoui, H Khlifi, M Ben Said, T Mabrouki, W Bouzid Sai
Journal of the Brazilian Society of Mechanical Sciences and Engineering 45 2023



Mechanical properties of additively manufactured 17-4PH SS: heat treatment
TAM Sghaier, H Sahlaoui, T Mabrouki, H Sallem, J Rech
Advances In Additive Manufacturing Conference, 28-36 2023



Effect of Printing Process Parameters on the Tensile Behavior of FDM-Built Parts
A Belhadj, S Slama, MH Habouba, T Mabrouki
Advances In Additive Manufacturing Conference, 219-227 2023



Contribution to the Formulation of a Material Based on Marble Waste for Its Use in 3D Printing in Civil Engineering
H Zargayouna, E Hamdi, T Mabrouki
Advances In Additive Manufacturing Conference, 159-169 2023



Experimental Study of Morphological Defects Generated by SLM on 17-4PH Stainless Steel
TAM Sghaier, H Sahlaoui, H Sallem, T Mabrouki, J Rech
Advances In Additive Manufacturing Conference, 238-244 2023



Machinability investigation of gray cast iron in turning with ceramics and CBN tools: Modeling and optimization using desirability function approach
B Gasmi, MA Yallese, S Boucherit, S Chihaoui, T Mabrouki
Structural Engineering and Mechanics, An Int'l Journal 86 (1), 119-137 2023



3D macro-mechanical FE simulation for GLARE drilling with experimental validation
I Boughdiri, T Mabrouki, R Zitoune, K Giasin, MF Ameur
Composite Structures 304, 116458 2023



MODELING OF CUTTING FORCE AND POWER CONSUMPTION USING ANN AND RSM METHODS IN TURNING OF AISI D3: COMPARATIVE STUDY AND PRECISION BENEFIT
SC KHAOULA SAFI, MOHAMED ATHMANE YALLESE, SALIM BELHADI, TAREK MABROUKI
Journal of Theoretical and Applied Mechanics 53 (1), 49-65 2023



Tool Temperature Distribution in Orthogonal Cutting Using Finite Element Thermal Analysis
W Tarhouni, H Khlifi, L Abdellaoui, MB Said, T Mabrouki, W Bouzid Sa
International Conference on Innovative Materials, Manufacturing, and 2022



Comparative analyses and investigations of chamfered and honed-edge tool geometries on tool wear, chip morphology, residual stresses and end-burr formation
M Asad, H Ijaz, MAA Khan, M Khan, T Mabrouki, MU Rashid
Journal of Manufacturing Processes 80, 196-209 2022



Parametric study and multi-criteria optimization during turning of X210Cr12 steel using the desirability function and hybrid Taguchi-WASPAS method
K Safi, MA Yallese, S Belhadi, T Mabrouki, S Chihaoui
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of 2022



Tool wear, 3D surface topography, and comparative analysis of GRA, MOORA, DEAR, and WASPAS optimization techniques in turning of cold work tool steel
K Safi, MA Yallese, S Belhadi, T Mabrouki, A Laouissi
The International Journal of Advanced Manufacturing Technology 121 (1), 701-721 2022



Assessment of Surface Integrity and Dust While Drilling of GLARE FMLs
I Boughdiri, T Mabrouki, R Zitoune, K Giasin
Advances in Materials, Mechanics and Manufacturing II: Proceedings of the 2022

MOST CITED SCHOLAR PUBLICATIONS

Statistical analysis of surface roughness and cutting forces using response surface methodology in hard turning of AISI 52100 bearing steel with CBN tool
K Bouacha, MA Yallese, T Mabrouki, JF Rigal
International Journal of Refractory Metals and Hard Materials 28 (3), 349-361 2010
Citations: 521



Analysis of surface roughness and cutting force components in hard turning with CBN tool: Prediction model and cutting conditions optimization
H Aouici, MA Yallese, K Chaoui, T Mabrouki, JF Rigal
Measurement 45 (3), 344-353 2012
Citations: 452



Numerical and experimental study of dry cutting for an aeronautic aluminium alloy (A2024-T351)
T Mabrouki, F Girardin, M Asad
International Journal of Machine Tools & Manufacture 48, 1187-1197 2008
Citations: 394



Numerical and experimental analyses of woven composite reinforcement forming using a hypoelastic behaviour. Application to the double dome benchmark
MA Khan, T Mabrouki, E Vidal-Sall, P Boisse
Journal of materials processing technology 210 (2), 378-388 2010
Citations: 325



On the prediction of surface roughness in the hard turning based on cutting parameters and tool vibrations
Z Hessainia, A Belbah, MA Yallese, T Mabrouki, JF Rigal
Measurement 46 (5), 1671-1681 2013
Citations: 322



On the selection of Johnson-Cook constitutive model parameters for Ti-6Al-4 V using three types of numerical models of orthogonal cutting
Y Zhang, JC Outeiro, T Mabrouki
Procedia Cirp 31, 112-117 2015
Citations: 302



A contribution to a qualitative understanding of thermo-mechanical effects during chip formation in hard turning
T Mabrouki, JF Rigal
Journal of Materials Processing Technology 176 (1-3), 214-221 2006
Citations: 254



Comparative assessment of wiper and conventional ceramic tools on surface roughness in hard turning AISI 4140 steel
M Elbah, MA Yallese, H Aouici, T Mabrouki, JF Rigal
Measurement 46 (9), 3041-3056 2013
Citations: 183



Chip formation in orthogonal cutting considering interface limiting shear stress and damage evolution based on fracture energy approach
YC Zhang, T Mabrouki, D Nelias, YD Gong
Finite elements in analysis and design 47 (7), 850-863 2011
Citations: 183



Performance of coated and uncoated mixed ceramic tools in hard turning process
H Bensouilah, H Aouici, I Meddour, MA Yallese, T Mabrouki, F Girardin
Measurement 82, 1-18 2016
Citations: 156



Surface roughness and cutting forces modeling for optimization of machining condition in finish hard turning of AISI 52100 steel
MW Azizi, S Belhadi, MA Yallese, T Mabrouki, JF Rigal
Journal of mechanical science and technology 26, 4105-4114 2012
Citations: 150



Predictive modeling and multi-response optimization of technological parameters in turning of Polyoxymethylene polymer (POM C) using RSM and desirability function
A Chabbi, MA Yallese, I Meddour, M Nouioua, T Mabrouki, F Girardin
Measurement 95, 99-115 2017
Citations: 144



Load transfer of graphene/carbon nanotube/polyethylene hybrid nanocomposite by molecular dynamics simulation
Y Zhang, X Zhuang, J Muthu, T Mabrouki, M Fontaine, Y Gong, T Rabczuk
Composites Part B: Engineering 63, 27-33 2014
Citations: 122



Numerical simulation and experimental study of the interaction between a pure high-velocity waterjet and targets: contribution to investigate the decoating process
T Mabrouki, K Raissi, A Cornier
Wear 239 (2), 260-273 2000
Citations: 116



Modeling and optimization of hard turning of X38CrMoV5-1 steel with CBN tool: Machining parameters effects on flank wear and surface roughness
H Aouici, MA Yallese, B Fnides, K Chaoui, T Mabrouki
Journal of mechanical science and technology 25, 2843-2851 2011
Citations: 113



Experimental investigation and performance analyses of CBN insert in hard turning of cold work tool steel (D3)
H Bouchelaghem, MA Yallese, T Mabrouki, A Amirat, JF Rigal
Machining Science and Technology 14 (4), 471-501 2010
Citations: 111



Experimental and numerical study of chip formation during straight turning of hardened AISI 4340 steel
S Belhadi, T Mabrouki, JF Rigal, L Boulanouar
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of 2005
Citations: 104



Mathematical modeling for turning on AISI 420 stainless steel using surface response methodology
L Bouzid, MA Yallese, K Chaoui, T Mabrouki, L Boulanouar
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of 2015
Citations: 103



Modeling and multi-objective optimization for minimizing surface roughness, cutting force, and power, and maximizing productivity for tempered stainless steel AISI 420 in
A Zerti, MA Yallese, I Meddour, S Belhadi, A Haddad, T Mabrouki
The International Journal of Advanced Manufacturing Technology 102, 135-157 2019
Citations: 101



On the existence of a thermal contact resistance at the tool-chip interface in dry cutting of AISI 1045: Formation mechanisms and influence on the cutting process
C Courbon, T Mabrouki, J Rech, D Mazuyer, E D'Eramo
Applied Thermal Engineering 50 (1), 1311-1325 2013
Citations: 101