研究目的
To develop a classical molecular dynamics (MD) model for the coalescence of pre-alloyed aluminum alloy (AlSi10Mg) particles during the laser additive manufacturing process and to investigate the neck growth and coalescence kinetics of different pairs of particle size with changing the laser energy density.
研究成果
The MD simulation model successfully investigates the coalescence kinetics and neck growth mechanism of AlSi10Mg nanoparticles during laser additive manufacturing. Key findings include the increase in sintering rate with laser energy density, faster diffusion in uneven-sized particles, and the influence of surface and volume diffusion on the sintering process. The study provides insights for designing process parameters and quality control in additive manufacturing.
研究不足
The study focuses on the nanoscale sintering phenomena, which may not directly translate to micron-scale or bulk material behavior. The simulations are limited to pre-alloyed AlSi10Mg nanoparticles and may not account for all real-world process variations in laser additive manufacturing.
1：Experimental Design and Method Selection:
A classical molecular dynamics (MD) model is developed using the LAMMPS platform to simulate the coalescence of AlSi10Mg nanoparticles during the laser additive manufacturing process. The model investigates neck growth and coalescence kinetics at different laser energy densities.
2：Sample Selection and Data Sources:
The study uses pre-alloyed AlSi10Mg spherical nanoparticles arranged in two different patterns: even-sized and uneven-sized pairs.
3：List of Experimental Equipment and Materials:
The simulations are conducted using the LAMMPS platform. The nanoparticles are modeled with interatomic potential functions including Embedded Atom Method (EAM) for Al-Al and Mg-Mg atoms, Tersoff potential for Si-Si atoms, and L-J/cut potential for interactions between different atom types.
4：Experimental Procedures and Operational Workflow:
The nanoparticles are thermally equilibrated at 300 K for 20 ps. Different laser energy densities (7 to 17 J/mm2) are applied using the NVT ensemble. The time-step size is set to 0.01 ps.
5：01 ps.
Data Analysis Methods:
5. Data Analysis Methods: Neck width, shrinkage ratio, radius of gyration, mean square displacement, and dihedral angle are calculated to analyze the sintering behavior and diffusion mechanisms.
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