What is he best known for?
The fields of study he is best known for:
- Composite material
- Mechanical engineering
- Metallurgy
Machining, Surface roughness, Composite material, Metallurgy and Structural engineering are his primary areas of study. His Surface roughness research is mostly focused on the topic Depth of cut. His research in the fields of Stress–strain curve, Polymer nanocomposite, Carbon nanotube and Polymer overlaps with other disciplines such as Graphene.
His research integrates issues of Taguchi methods, Orthogonal array and Mechanical engineering in his study of Metallurgy. His biological study spans a wide range of topics, including Chip and Selection. As a part of the same scientific family, Tarek Mabrouki mostly works in the field of Structural engineering, focusing on Chip formation and, on occasion, Shear stress, Limiting, Finite element method, Metal cutting and Titanium alloy.
His most cited work include:
- Statistical analysis of surface roughness and cutting forces using response surface methodology in hard turning of AISI 52100 bearing steel with CBN tool (254 citations)
- Analysis of surface roughness and cutting force components in hard turning with CBN tool: Prediction model and cutting conditions optimization (215 citations)
- Numerical and experimental study of dry cutting for an aeronautic aluminium alloy (A2024-T351) (188 citations)
What are the main themes of his work throughout his whole career to date?
Tarek Mabrouki spends much of his time researching Mechanical engineering, Machining, Metallurgy, Surface roughness and Finite element method. His work on Chip formation and Cutting force as part of general Mechanical engineering research is often related to Parametric statistics, thus linking different fields of science. His Rake angle study in the realm of Machining connects with subjects such as Work.
His Carbide, Tungsten, Forging and Hot work study in the realm of Metallurgy interacts with subjects such as Statistical analysis. Tarek Mabrouki has researched Surface roughness in several fields, including Taguchi methods, Surface finish, Tool wear and Machinability. His Finite element method research includes elements of Mechanics, Composite material and Modeling and simulation.
He most often published in these fields:
- Mechanical engineering (45.13%)
- Machining (37.17%)
- Metallurgy (33.63%)
What were the highlights of his more recent work (between 2016-2021)?
- Surface roughness (32.74%)
- Machining (37.17%)
- Metallurgy (33.63%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Surface roughness, Machining, Metallurgy, Mechanical engineering and Surface finish. His work in Surface roughness tackles topics such as Machinability which are related to areas like Structural engineering. His Machining research integrates issues from Residual stress, Composite material, Computer simulation and Cutting tool.
The concepts of his Metallurgy study are interwoven with issues in Thermal conductivity, Service life and Finite element method. His work on Chip formation, Lubrication and Ball is typically connected to Work as part of general Mechanical engineering study, connecting several disciplines of science. His Chip formation research focuses on subjects like Broaching, which are linked to Chip and Cutting force.
Between 2016 and 2021, his most popular works were:
- Predictive modeling and multi-response optimization of technological parameters in turning of Polyoxymethylene polymer (POM C) using RSM and desirability function (57 citations)
- Modeling and optimization in dry face milling of X2CrNi18-9 austenitic stainless steel using RMS and desirability approach (37 citations)
- Design optimization for minimum technological parameters when dry turning of AISI D3 steel using Taguchi method (33 citations)
In his most recent research, the most cited papers focused on:
- Mechanical engineering
- Composite material
- Aluminium
Tarek Mabrouki mostly deals with Surface roughness, Machining, Mechanical engineering, Composite material and Surface finish. His Surface roughness research is multidisciplinary, relying on both Work, Engineering drawing and Cutting tool. Structural engineering is closely connected to Artificial neural network in his research, which is encompassed under the umbrella topic of Work.
His Mechanical engineering research focuses on Lubrication in particular. In general Composite material study, his work on Grinding often relates to the realm of Pareto chart, Martensitic stainless steel, Multi-objective optimization and Experimental validation, thereby connecting several areas of interest. His Surface finish research is multidisciplinary, incorporating perspectives in Stellite and Cemented carbide.
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