Numerical simulation of nanoparticles dispersion and deposition in steel under Brownian motion and turbulent diffusion
摘要
To investigate the dispersion and deposition behavior of the nanoparticles (NPs) in the molten steel under the combined effects of turbulent flow and Brownian motion, a 3D model utilizing volume of fluid–discrete phase model was developed based on a small-size ingot casting process. A modified Brownian motion model was implemented into the simulation using user-defined function to more accurately predict the motion behavior and distribution of the NPs in the molten steel. The results show that the NPs tend to deposit at the bottom or disperse toward the wall under the turbulent flow. The introduction of Brownian motion increases the horizontal dispersion rate (DH) to 21.3% and reduces the bottom deposition rate by 12.8%. A reduction in the particle size and density promotes higher particle mobility, characterized by increased velocity and DH, along with diminished deposition. As the particle size decreases to 1 × 10–7 m, Brownian motion becomes a significant factor influencing the particle dynamics. Additionally, increasing the initial velocity of the molten steel results in a lower DH of the particles. However, once the velocity exceeds 0.15 m s–1, its influence on the particle velocity becomes negligible.