| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Nouari, Mohammed
Institut de Mathématiques de Marseille
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (51/51 displayed)
- 2022Surface Quality in Dry Machining of CFRP Composite/Ti6Al4V Stack Laminatecitations
- 2022Effect of cryogenic friction conditions on surface qualitycitations
- 2022Effect of additive manufacturing process parameters on the titanium alloy microstructure, properties and surface integritycitations
- 2022Optimization of the milling process for aluminum honeycomb structurescitations
- 2022Surface integrity quantification in machining of aluminum honeycomb structurecitations
- 2022Optimization of the milling process for aluminum honeycomb structures ; Optimisation du procédé de fraisage des alliages d'aluminium nids d'abeillescitations
- 2021Thermomechanical modeling of crystallographic anisotropy effect on machining forces based on crystal plasticity frameworkcitations
- 2021Analysis of friction and cutting parameters when milling honeycomb composite structurescitations
- 2021Anisotropic elastoplastic phase field fracture modeling of 3D printed materialscitations
- 2021Study on the behavior law when milling the material of the Nomex honeycomb corecitations
- 20213D numerical modeling and experimental validation of machining Nomex® honeycomb materialscitations
- 2021Modeling and numerical simulation of the chip formation process when machining Nomexcitations
- 2020The Influence of Machining Conditions on The Milling Operations of Nomex Honeycomb Structure
- 2019Experimental and numerical study of DC04 sheet metal behaviour—plastic anisotropy identification and application to deep drawingcitations
- 2019Milling diagnosis using artificial intelligence approachescitations
- 2019Micromachining simulation using a crystal plasticity model: ALE and CEL approachescitations
- 2019Milling diagnosis using machine learning approaches
- 2018Investigation on the built-up edge process when dry machining aeronautical aluminum alloyscitations
- 2018Honeycomb Core Milling Diagnosis using Machine Learning in the Industry 4.0 Frameworkcitations
- 2018Milling Diagnosis Using Machine Learning Techniques Toward Industry 4.0
- 2017Prediction of the Cutting Forces and Chip Morphology When Machining the Ti6Al4V Alloy Using a Microstructural Coupled Modelcitations
- 2017Analytical modelling of the ball pin and plastic socket contact in a ball joint
- 2017A 3D FE Modeling of Machining Process of Nomex® Honeycomb Core: Influence of the Cell Structure Behaviour and Specific Tool Geometrycitations
- 2017Failure analysis of carbon fiber reinforced polymer multilayer composites during machining process
- 2016A thermomechanical analysis of sticking-sliding zones at the tool-chip interface in dry high-speed machining of aluminium alloy A2024–T351: A hybrid Analytical-Fe model
- 2016Numerical and experimental investigations of S-Glass/Polyester composite laminate plate under low energy impactcitations
- 2015Effect of the local friction and contact nature on the Built-Up Edge formation process in machining ductile metalscitations
- 2015A predictive hybrid force modeling in turning: application to stainless steel dry machining with a coated groove toolcitations
- 2015An Elastoplastic Constitutive Damage Model to Simulate the Chip Formation Process and Workpiece Subsurface Defects when Machining CFRP Compositescitations
- 2015An Elastoplastic Constitutive Damage Model to Simulate the Chip Formation Process and Workpiece Subsurface Defects when Machining CFRP Compositescitations
- 2015Multi-physics Modelling in Machining OFHC Copper – Coupling of Microstructure-based Flow Stress and Grain Refinement Modelscitations
- 2015Numerical analysis of the interaction between the cutting forces, induced cutting damage, and machining parameters of CFRP compositescitations
- 2015Numerical analysis of the interaction between the cutting forces, induced cutting damage, and machining parameters of CFRP compositescitations
- 2014Experimental and numerical analyses of the tool wear in rough turning of large dimensions components of nuclear power plantscitations
- 20142D and 3D numerical simulations of damage during the formation of successive chips when machining the aeronautical CFRP composites
- 20142D and 3D numerical simulations of damage during the formation of successive chips when machining the aeronautical CFRP composites
- 2014On the Physics of Machining Titanium Alloys: Interactions between Cutting Parameters, Microstructure and Tool Wearcitations
- 2014Modeling of the abrasive tool wear in metal cutting: Influence of the sliding-sticking contact zones
- 2014A new abrasive wear law for the sticking and sliding contacts when machining metallic alloyscitations
- 2014Tribological behaviour and tool wear analyses in rough turning of large-scale parts of nuclear power plants using grooved coated insertcitations
- 2013Experimental Study on Tool Wear when Machining Super Titanium Alloys: Ti6Al4V and Ti-555citations
- 2013Analytical stochastic modeling and experimental investigation on abrasive wear when turning difficult to cut materialscitations
- 2013Experimental investigation on the effect of the material microstructure on tool wear when machining hard titanium alloys: Ti–6Al–4V and Ti-555citations
- 2013Statistical approach for modeling abrasive tool wear and experimental validation when turning the difficult to cut Titanium Alloys Ti6Al4Vcitations
- 2013Quantification of the chip segmentation in metal machining: Application to machining the aeronautical aluminium alloy AA2024-T351 with cemented carbide tools WC-Cocitations
- 2013Modeling of the abrasive tool wear in metal cutting: Influence of the sliding-sticking contact zones
- 2013Experimental and analytical analyses of the cutting process in the deep hole drilling with BTA (Boring Trepanning Association) systemcitations
- 2013Modeling of velocity-dependent chip flow angle and experimental analysis when machining 304L austenitic stainless steel with groove coated-carbide toolscitations
- 2013Analysis of coating performances in machining titanium alloys for aerospace applicationscitations
- 2009Toward a better understanding of tool wear effect through a comparison between experiments and SPH numerical modelling of machining hard materialscitations
- 2009Toward a better understanding of tool wear effect through a comparison between experiments and SPH numerical modelling of machining hard materialscitations
Places of action
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article
A new abrasive wear law for the sticking and sliding contacts when machining metallic alloys
Abstract
International audience ; Abrasive wear was usually identified as the main wear mode occurring at the tool–chip and the tool–workpiece interfaces during machining operations such as turning, milling, and drilling. From an experimental point of view, the mechanisms governing the abrasion process are still not fully understood. This is due on one hand to the contact confinement between tool and workpiece and on the other hand to the high thermomechanical loading applied to the cutting tool during a machining process. Abrasion is often assumed to be closely linked to the microstructure of materials and caused by hard particles trapped at the tool–workpiece interface. The objective of this research work is to develop a predictive wear modeling taking into account the sliding and sticking nature of the contact. The proposed model is based on an analytical approach including a statistical description of the distribution of particles. The latter are assumed with a conical shape and embedded in the contact area. The volume of the removed material per unit time is chosen in this study as the main parameter to describe the abrasive wear mode. The sliding and sticking zones at the tool–chip and tool–workpiece interfaces depend on the evolution of the local conditions of stress, the sliding velocity and the friction coefficient. A new abrasive wear law is then proposed to estimate the tool life which is often considered in industrial applications. Finally, a parametric study was performed to highlight the influence of cutting conditions and the contact nature on the productivity rate for a given tool-material combination.