A5040649708- Additive Manufacturing Materials and Processes
- Solidification and crystal growth phenomena
- Additive Manufacturing and 3D Printing Technologies
- Aluminum Alloy Microstructure Properties
- Manufacturing Process and Optimization
- Metallurgy and Material Forming
- Metallurgical Processes and Thermodynamics
- Laser Material Processing Techniques
- Welding Techniques and Residual Stresses
- Advanced Surface Polishing Techniques
- High Entropy Alloys Studies
- High Temperature Alloys and Creep
- Aluminum Alloys Composites Properties
- Metal and Thin Film Mechanics
- Advanced machining processes and optimization
- Advanced Welding Techniques Analysis
- nanoparticles nucleation surface interactions
- Injection Molding Process and Properties
- Microstructure and Mechanical Properties of Steels
- Metal Alloys Wear and Properties
- Diamond and Carbon-based Materials Research
- Surface Roughness and Optical Measurements
- Microstructure and mechanical properties
- Advanced Numerical Analysis Techniques
- Theoretical and Computational Physics
Centre de Mise en Forme des Matériaux
2015-2024
Centre National de la Recherche Scientifique
2012-2024
École Nationale Supérieure des Mines de Paris
2013-2024
Université Paris Sciences et Lettres
2017-2024
ParisTech
2009-2022
Sorbonne Université
2022
Université Paris Dauphine-PSL
2022
École nationale supérieure d'arts et métiers
2007-2014
Conseil Régional des Hauts-de-France
2010-2013
Laboratoire Bourguignon des Matériaux et Procédés
2011
Electrochemical impedance spectroscopy (EIS) in the l00 kHz-10 mHz frequency range was employed as main electrochemical technique to study corrosion protection behaviour of zinc rich epoxy paint 3% NaCl solution. The EIS results obtained at open-circuit potential have been interpreted using a model involving particle contact account for increasing resistance between particles with immersion period, addition due surface oxide layer and electrical resistivity binder. Galvanic current dc...
A coupled Cellular Automaton (CA)–Finite Element (FE) model is presented for the prediction of solidification grain structures with calculation solid and liquid flow induced macrosegregation. The applied to simulate a Pb–48wt%Sn alloy in rectangular cavity cooled down from only one its vertical boundaries. algorithm numerical implementation coupling between CA FE methods are first validated by considering single developing no undercooling. Such CAFE simulation shown retrieve solution purely...
The thermomechanical analysis of powder-bed fusion using a laser beam is simulated in both meso- and macroscales within framework combining continuum assumption level-set formulation. mesoscale simulation focuses on interaction with the powder bed, subsequent melting solidification. Modelling conducted at scale material deposition, which fusion, hydrodynamics melt pool, thermal stress are simulated. macroscale model part construction post-deposition. During construction, by contrast...
A coupled Cellular Automaton (CA) – Finite Element (FE) model is proposed to predict the grain structure formation during Gas Tungsten Arc Welding (GTAW). The FE solves heat flow problem based on an adaptive meshing. This done a first mesh. CA simulates development of envelope grains in liquid. For that purpose, second mesh, referred as used. Fields can be interpolated between mesh and grid made regular lattice cubic cells defined superimposed onto new dynamic strategy for...
A cellular automaton (CA) method was developed in the 1990s for prediction of solidification grain structures. It coupled with a finite element (FE) to solve energy conservation equation at scale casting. Such coupling is revisited this contribution thanks recently proposed front tracking that gives correct solution heat flow problem which undercooling growing fronts define limits mushy zone taken into account. Validation provided by considering unidirectional solidification. Comparison...