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Mohamed Athmane Yallese

Mohamed Athmane Yallese

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
35
Citations
5147
World Ranking
2642
National Ranking
4

Overview

Mohamed Athmane Yallese is affiliated with the University of Guelma in Algeria. Their research focuses primarily on the field of Engineering with extensive work in Mechanical Engineering, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Biomedical Engineering, and Materials Chemistry.

The main topics of their research include:

  • Advanced machining processes and optimization
  • Advanced Machining and Optimization Techniques
  • Advanced Surface Polishing Techniques
  • Manufacturing Process and Optimization
  • Engineering Technology and Methodologies
  • Metal Alloys Wear and Properties
  • Additive Manufacturing Materials and Processes

Mohamed Athmane Yallese has contributed to numerous publications, with frequent papers appearing in the following venues:

  • The International Journal of Advanced Manufacturing Technology
  • Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
  • Periodica Polytechnica Mechanical Engineering
  • Journal of the Brazilian Society of Mechanical Sciences and Engineering
  • Mechanika

Selected recent papers authored or co-authored by Yallese include:

  • Optimization of machining parameters in turning of Inconel 718 Nickel-base super alloy (2020), Mechanics & Industry
  • Modeling and optimization in turning of PA66-GF30% and PA66 using multi-criteria decision-making (PSI, MABAC, and MAIRCA) methods: a comparative study (2022), The International Journal of Advanced Manufacturing Technology
  • Machinability study and ANN-MOALO-based multi-response optimization during Eco-Friendly machining of EN-GJL-250 cast iron (2021), The International Journal of Advanced Manufacturing Technology
  • Tool wear, 3D surface topography, and comparative analysis of GRA, MOORA, DEAR, and WASPAS optimization techniques in turning of cold work tool steel (2022), The International Journal of Advanced Manufacturing Technology
  • Tool vibration, surface roughness, cutting power, and productivity assessment using RSM and GRA approach during machining of Inconel 718 with PVD-coated carbide tool (2022), The International Journal of Advanced Manufacturing Technology

Their collaborative work includes frequent partnerships with several co-authors, notably:

  • Salim Belhadi (30 joint publications)
  • Tarek Mabrouki (12 joint publications)
  • Salim Chihaoui (9 joint publications)
  • Khaoula Safi (9 joint publications)
  • Aissa Laouissi (8 joint publications)

Mohamed Athmane Yallese's research trajectory shows a strong emphasis on optimization techniques in machining processes and the study of advanced surface finishing methods. Their work often integrates decision-making methods and multi-response optimization approaches to address practical challenges in manufacturing environments.

Best Publications

  • Statistical analysis of surface roughness and cutting forces using response surface methodology in hard turning of AISI 52100 bearing steel with CBN tool

    Khaider Bouacha;Mohamed Athmane Yallese;Tarek Mabrouki;Jean-François Rigal

  • Analysis of surface roughness and cutting force components in hard turning with CBN tool: Prediction model and cutting conditions optimization

    Hamdi Aouici;Mohamed Athmane Yallese;Kamel Chaoui;Tarek Mabrouki

  • On the prediction of surface roughness in the hard turning based on cutting parameters and tool vibrations

    Zahia Hessainia;Ahmed Belbah;Mohamed Athmane Yallese;Tarek Mabrouki

  • Hard machining of hardened bearing steel using cubic boron nitride tool

    Mohamed Athmane Yallese;Kamel Chaoui;Nassereddine Zeghib;Lakhdar Boulanouar

  • Comparative assessment of wiper and conventional ceramic tools on surface roughness in hard turning AISI 4140 steel

    Mohamed Elbah;Mohamed Athmane Yallese;Hamdi Aouici;Tarek Mabrouki

  • Performance of coated and uncoated mixed ceramic tools in hard turning process

    Hamza Bensouilah;Hamdi Aouici;Ikhlas Meddour;Mohamed Athmane Yallese

  • Surface roughness and cutting forces modeling for optimization of machining condition in finish hard turning of AISI 52100 steel

    Mohamed Walid Azizi;Salim Belhadi;Mohamed Athmane Yallese;Tarek Mabrouki

  • Predictive modeling and multi-response optimization of technological parameters in turning of Polyoxymethylene polymer (POM C) using RSM and desirability function

    Amel Chabbi;Mohamed Athmane Yallese;Ikhlas Meddour;Mourad Nouioua

  • Machinability investigation in hard turning of AISI D3 cold work steel with ceramic tool using response surface methodology

    H. Aouici;H. Bouchelaghem;M. A. Yallese;M. Elbah

  • Analysis and optimization of hard turning operation using cubic boron nitride tool

    Khaider Bouacha;Mohamed Athmane Yallese;Samir Khamel;Salim Belhadi

  • Investigation and modeling of cutting forces and surface roughness when hard turning of AISI 52100 steel with mixed ceramic tool: cutting conditions optimization

    I. Meddour;M. A. Yallese;R. Khattabi;M. Elbah

  • Modeling and optimization of hard turning of X38CrMoV5-1 steel with CBN tool: Machining parameters effects on flank wear and surface roughness

    Hamdi Aouici;Mohamed Athmane Yallese;Brahim Fnides;Kamel Chaoui

  • Modeling and multi-objective optimization for minimizing surface roughness, cutting force, and power, and maximizing productivity for tempered stainless steel AISI 420 in turning operations

    Abderrahmen Zerti;Mohamed Athmane Yallese;Ikhlas Meddour;Salim Belhadi

  • Investigation, modeling, and optimization of cutting parameters in turning of gray cast iron using coated and uncoated silicon nitride ceramic tools. Based on ANN, RSM, and GA optimization

    Aissa Laouissi;M. A. Yallese;A. Belbah;S. Belhadi

  • EXPERIMENTAL INVESTIGATION AND PERFORMANCE ANALYSES OF CBN INSERT IN HARD TURNING OF COLD WORK TOOL STEEL (D3)

    H. Bouchelaghem;M. A. Yallese;T. Mabrouki;A. Amirat

  • Investigation of the performance of the MQL, dry, and wet turning by response surface methodology (RSM) and artificial neural network (ANN)

    Mourad Nouioua;Mohamed Athmane Yallese;Riad Khettabi;Salim Belhadi

  • Mathematical modeling for turning on AISI 420 stainless steel using surface response methodology

    Lakhdar Bouzid;Mohamed Athmane Yallese;Kamel Chaoui;Tarek Mabrouki;Tarek Mabrouki

  • Application of response surface methodology for determining cutting force model in turning hardened AISI H11 hot work tool steel

    B. Fnides;M.A. Yallese;Tarek Mabrouki;Jean Francois Rigal

  • Design optimization for minimum technological parameters when dry turning of AISI D3 steel using Taguchi method

    Oussama Zerti;Mohamed Athmane Yallese;Riad Khettabi;Kamel Chaoui

  • Prediction of machining performance using RSM and ANN models in hard turning of martensitic stainless steel AISI 420

    Abderrahmen Zerti;Mohamed Athmane Yallese;Oussama Zerti;Mourad Nouioua

Frequent Co-Authors

Tarek Mabrouki
Tarek Mabrouki Tunis El Manar University

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