International audienceThe purpose of this article is to investigate the influence of growth kinetic models and nucleation models on the grain structure predicted by cellular automata (CA) during bead on Cu30Ni thin plate. Temperature field is obtained with the computation of two-dimensional finite element model (FE). Based on these temperatures, a CA model simulates the evolution of the envelope of grains along the solidification front. It is shown that for the same temperature field, the grains structure is modified if the growth model changes. The influence of the nucleation law parameters is also discussed from a modelling point of view. Experimental size of the weld pool are compared with thermal results and EBSD maps are compared with ...
In this paper, a predictive model based on a cellular automaton (CA)-finite element (FE) method has...
International audienceStochastic models have been developed for the simulation of grain structure fo...
Computer simulation is a powerful tool to predict microstructure and its evolution in dynamic and po...
International audienceA coupled Cellular Automaton (CA) - Finite Element (FE) model is proposed to p...
International audienceThe Cellular Automaton-Finite Element (CAFE) method is used to simulate grain ...
International audienceControlling the microstructure of welds is important to assess the structural ...
The authors explore the use of cellular automata in modeling arc-welding processes. A brief discussi...
International audienceSolidification grain structure has significant impact on the final properties ...
International audienceCellular Automaton (CA) - Finite Element (FE) modeling is an efficient way to ...
This article is based on a presentation made at the “Analysis and Modeling of Solidification” sympos...
In this paper, a predictive model based on a cellular automaton (CA)-finite element (FE) method has ...
This paper presents a numerical and infrared experimental study of thermal and grain growth behavior...
Based on the thermal activation theory and curvature-driven mechanism, a 2D cellular automaton model...
In this paper, a predictive multi-scale model based on a cellular automaton (CA)-finite element (FE)...
The grain texture of the as-printed material evolves during the laser-based powder bed fusion (PBF-L...
In this paper, a predictive model based on a cellular automaton (CA)-finite element (FE) method has...
International audienceStochastic models have been developed for the simulation of grain structure fo...
Computer simulation is a powerful tool to predict microstructure and its evolution in dynamic and po...
International audienceA coupled Cellular Automaton (CA) - Finite Element (FE) model is proposed to p...
International audienceThe Cellular Automaton-Finite Element (CAFE) method is used to simulate grain ...
International audienceControlling the microstructure of welds is important to assess the structural ...
The authors explore the use of cellular automata in modeling arc-welding processes. A brief discussi...
International audienceSolidification grain structure has significant impact on the final properties ...
International audienceCellular Automaton (CA) - Finite Element (FE) modeling is an efficient way to ...
This article is based on a presentation made at the “Analysis and Modeling of Solidification” sympos...
In this paper, a predictive model based on a cellular automaton (CA)-finite element (FE) method has ...
This paper presents a numerical and infrared experimental study of thermal and grain growth behavior...
Based on the thermal activation theory and curvature-driven mechanism, a 2D cellular automaton model...
In this paper, a predictive multi-scale model based on a cellular automaton (CA)-finite element (FE)...
The grain texture of the as-printed material evolves during the laser-based powder bed fusion (PBF-L...
In this paper, a predictive model based on a cellular automaton (CA)-finite element (FE) method has...
International audienceStochastic models have been developed for the simulation of grain structure fo...
Computer simulation is a powerful tool to predict microstructure and its evolution in dynamic and po...