B. Haddag

ORCID: 0000-0003-3850-3044
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About
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Research Areas
  • Advanced machining processes and optimization
  • Advanced Surface Polishing Techniques
  • Metallurgy and Material Forming
  • Tunneling and Rock Mechanics
  • Metal Forming Simulation Techniques
  • Metal Alloys Wear and Properties
  • Advanced Machining and Optimization Techniques
  • Metal and Thin Film Mechanics
  • Advanced materials and composites
  • Manufacturing Process and Optimization
  • Adhesion, Friction, and Surface Interactions
  • High-Velocity Impact and Material Behavior
  • Textile materials and evaluations
  • Microstructure and mechanical properties
  • Natural Fiber Reinforced Composites
  • Aluminum Alloys Composites Properties
  • Structural Analysis and Optimization
  • Mechanical Behavior of Composites
  • Mechanical Engineering and Vibrations Research
  • Engineering Technology and Methodologies
  • Laser and Thermal Forming Techniques
  • Structural Load-Bearing Analysis
  • Machine Learning in Materials Science
  • Aeroelasticity and Vibration Control
  • Composite Material Mechanics

Centre National de la Recherche Scientifique
2011-2022

Institut Mines-Télécom
2018-2022

Laboratoire d'Étude des Microstructures et de Mécanique des Matériaux
2006-2019

Université de Lorraine
2011-2019

Laboratoire Énergies et Mécanique Théorique et Appliquée
2010-2019

École Nationale Supérieure des Mines de Nancy
2013-2017

Hôpital de la Conception
2013

Applied Energetics (United States)
2012

Laboratoire de Mécanique des Sols, Structures et Matériaux
2005-2008

École nationale supérieure d'arts et métiers
2008

The active vibration control of a composite plate using discrete piezoelectric patches has been investigated. Based on first order shear deformation theory, finite element model with the contributions sensor and actuator to mass stiffness was used derive state space equation. A global optimization based LQR performance is developed find optimal location patches. Genetic algorithm adopted implemented evaluate configuration. provides damping effect by means algorithm. correlation between...

10.1080/15376494.2017.1387324 article EN Mechanics of Advanced Materials and Structures 2017-10-17

In this paper, machining aeronautical aluminum alloy AA2024-T351 in dry conditions was investigated. Cutting forces, chip segmentation, and built-up edge formation were analyzed. Machining tests revealed that the process depends on cutting tool geometry. So continuous segmented chips are generated. Under some conditions, occurs. A predictive theory, based a finite elements method (FEM), applied to reproduce explain these phenomena. Thermomechanical behaviors of work material tool-work...

10.3390/met6090197 article EN cc-by Metals 2016-08-24

Titanium and its alloys are often used in aerospace, power biomedical applications due to their low density, high tensile strength, resistance corrosion temperatures. However, these materials well known be difficult-to-cut require follow some special techniques improve machinability. It should also noticed that phenomena like segmentation recrystallization can occur during the chip formation process. Therefore, fine grains observed adiabatic shear bands located segments. The machined surface...

10.1016/j.procir.2017.03.233 article EN Procedia CIRP 2017-01-01

This paper deals with analysis of the cutting process, on a macro and micro scale, in deep hole drilling BTA system. An experimental procedure is developed to highlight impact speed feed rate process when machining 18MND5 steel. Parameters based dimensional characteristics chips are introduced quantify morphology generated by central, intermediate external inserts complex tool. From observation (flat, curved spiral) measurement width, provenance each chip respect identified. Then, Chip...

10.1051/meca/2013087 article EN cc-by Mechanics & Industry 2013-01-01

Titanium alloys are considered difficult-to-cut materials due to their low machinability. Understanding the physical mechanisms occurring during cutting titanium is of particular interest improve Experimental and numerical investigations on Ti-6Al-4V alloy machining proposed in this paper. Orthogonal tests performed. The chip microstructure characterized using SEM observations coupled with EBSD technique reveal deformation inside microstructure. Based these microscale observations, a new...

10.3390/met12040581 article EN cc-by Metals 2022-03-29

This study investigates the morphological changes and tensile properties of Alfa fibers extracted mechanically after two treatments namely water retting alkali treatment. The Scanning Electron Microscopy technique is used in this experimental work. main observation reveals decrease noncellulosic component which inversely proportional to concentration sodium hydroxide solution case Tensile tests were carried out using machine for determining mainly strength elastic modulus. young's modulus...

10.1080/15440478.2017.1302384 article EN Journal of Natural Fibers 2017-04-07
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