Modeling of solidification process during multi-track laser cladding with 3D cellular automata coupling gas-liquid interface tracking and solute suppression nucleation

Jin, Kangning; Yang, Ziyou; Chen, Ping; Feng, Pengni; Qiao, Xiaoxi

doi:10.1016/j.jmatprotec.2023.117927

Cited by 11 publications

(4 citation statements)

References 30 publications

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“…The VOF method is used to track the morphology of the melt pool. The smallest mesh size of the computational domain is 125 μm 125 μm 50 μm × × [2] . The laser energy source term on the melt pool surface can be described as follows:…”

Section: Finite Volume Methodsmentioning

confidence: 99%

“…nucleon density is is the standard deviation. Second, the solute transport process between the solid and liquid phases [2] :…”

Section: Cellular Automata Modelmentioning

confidence: 99%

“…where the CA cell's solid fraction is s f (0: liquid phase, 1: solid phase), the alloy solute concentration (including solid phase and liquid phase) is C, and the alloy diffusion coefficient (including solid phase and liquid phase) is D. Third, the velocity of the tip of grains growth is calculated as follows [2] :…”

Section: Cellular Automata Modelmentioning

confidence: 99%

“…Laser cladding technology has been very popular in the field of parts remanufacturing. The cladding layer's microstructure is influenced by the parameters of the cladding process, and the different microstructures lead to significant differences in the alloys' mechanical performance [2] . Studying the cladding layer's microstructure of the whole melt pool formed during the laser cladding process is essential for the repair of high-temperature alloy parts that meet specific mechanical performance.…”

Section: Introductionmentioning

confidence: 99%

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Simulation of microstructure evolution process in the melt pool formed by laser cladding with a multi-scale model

Jin,

Chen

2023

J. Phys.: Conf. Ser.

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The microstructure directly determines the alloys’ mechanical performance, therefore understanding the microstructure evolution process is essential to controlling the cladding layer’s mechanical performance. A multiscale model in three dimensions is developed to evaluate the complicated microstructure evolution in the melt pool formed during the laser cladding process. The model consists of two parts: the FVM to calculate the evolution of the melt pool at the macroscopic scale, and the simulation of the solidification of grains at the microscopic scale by the CA. The high consistency with the experimental results proves the accuracy of the multiscale model in three dimensions. Using the developed model, the solid-liquid phase transformation process of the whole melt pool is studied and the impact of the variations of scanning speed on the microstructure is analyzed. The grain size decreases and the “laser-grain angle” increases with an increase in scanning speed. This study explains the evolution of the microstructure, which helps to customize the cladding layer’s microstructure.

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Section: Finite Volume Methodsmentioning

confidence: 99%

“…nucleon density is is the standard deviation. Second, the solute transport process between the solid and liquid phases [2] :…”

Section: Cellular Automata Modelmentioning

confidence: 99%

Section: Cellular Automata Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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