| People | Locations | Statistics |
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| 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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Marcon, Bertrand
Laboratoire Bourguignon des Matériaux et Procédés
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (20/20 displayed)
- 2024Identification of local to global mechanical properties of clear wood peeled veneers from off axis tensile tests using full-field local displacement measurements
- 2023Tribological Analysis of Several Coatings under Flood and Cryogenic Cooling Conditionscitations
- 2023Specific cutting coefficients for the most common engineered wood products
- 2023Heat treatment of poplar plywood: modifications in physical, mechanical and durability propertiescitations
- 2023Veneer Mechanical Grading Based on Online Local Wood Fiber Orientation Measurements to Model and Manufacture Stiffness Optimized Structural Beams
- 2021New Perspectives for LVL Manufacturing from Wood of Heterogeneous Quality—Part. 1: Veneer Mechanical Grading Based on Online Local Wood Fiber Orientation Measurementcitations
- 2021BURR FORMATION AT THE INTERFACE DURING BI-MATERIAL ORTHOGONAL CUTTING
- 2020Investigations on Strain Hardening During Cutting of Heat-Resistant Austenitic Stainless Steelcitations
- 2020Investigations on Strain Hardening During Cutting of Heat-Resistant Austenitic Stainless Steelcitations
- 2020Investigations on drilling performance of high resistant austenitic stainless steelcitations
- 2019Optimization-based procedure for the determination of the constitutive model coefficients used in machining simulationscitations
- 2019Investigations on exit burr formation mechanisms based on digital image correlation and numerical modellingcitations
- 2019Investigations on exit burr formation mechanisms based on digital image correlation and numerical modellingcitations
- 2019Mechanical analysis of local cutting forces and transient state when drilling of heat-resistant austenitic stainless steelcitations
- 2018Fundamental study of exit burr formation mechanisms during orthogonal cutting of AlSi aluminium alloycitations
- 2018Fundamental study of exit burr formation mechanisms during orthogonal cutting of AlSi aluminium alloycitations
- 2018Mechanical study in drilling of heat resistant austenitic stainless steelcitations
- 2016Experimental Investigation and Modelling of Burr Formation during Orthogonal Cutting of A356+0.5Cu Aluminium Alloy
- 2016Experimental Investigation and Modelling of Burr Formation during Orthogonal Cutting of A356+0.5Cu Aluminium Alloy
- 2011Experimental studies on the wooden support of the "Mona Lisa"
Places of action
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article
Tribological Analysis of Several Coatings under Flood and Cryogenic Cooling Conditions
Abstract
<jats:p>The contact between the tool and the workpiece/chip in metal cutting is complex, resulting in high local temperatures and stresses, which may cause severe tool wear and failure. Developments in cryogenic-assisted machining have shown an ecological alternative to the classical metal working fluids, besides tool wear reduction during machining difficult-to-cut materials due to the good ability to dissipate the heat generated by this process. The objective of this work is to analyze the tribological conditions and performance of new coatings specially developed for cryogenic-assisted machining in terms of friction coefficient, volume of build-up material (adhesion) to the tool, and tool temperature. The results have shown that the sliding speed and cooling/lubrication strategy are two main factors that affect the friction coefficient and adhesion of Ti–6Al–4V alloy to the pins. These tribological tests should allow us to select the best coating(s) to be used in cutting tools for further tool wear analysis. Moreover, the obtained friction coefficients could be further implemented into metal cutting models to predict the machining outcomes, including the surface integrity of the machined parts and tool wear.</jats:p>