Controlled kinetic Monte Carlo simulation of laser improved nano particle deposition process

Song, Jae Bok; Choi, Kweon-Hoon; Dai, Ruonan; Choi, Jung-Oh; Ahn, Sung‐Hoon; Wang, Yan

doi:10.1016/j.powtec.2017.11.044

Cited by 7 publications

(1 citation statement)

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“…Rodríguez-Pérez et al used an on-lattice dynamical Monte Carlo simulation for simulating particle deposit growth by advection-diffusion towards a 2D surface [26]. Song et al developed a controlled kinetic Monte Carlo method based on classical kinetic Monte Carlo models to simulate nano-particle deposition processes in the field of thin film coating [27]. Höflinger and Jeon et al developed a 2D computer simulation model for the compressible dust cake build-up on a model filter composed of an array of identical parallel fibers, and analyzed the local pore characteristics during the growth of the dust layer [28,29], but the convective diffusion of particles and the flow characteristics near the fibers were ignored; this model is therefore suitable for the deposition of larger particles without stochastic motion due to Brownian diffusion.…”

Section: Introductionmentioning

confidence: 99%

A 3D Monte Carlo Simulation of Convective Diffusional Deposition of Ultrafine Particles on Fiber Surfaces

Chen

et al. 2022

Atmosphere

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The microscale simulation of ultrafine particle transport and deposition in fibrous filtration media was achieved with a novel particle tracking model using a 3D Monte Carlo model. The particle deposition process is governed by the convection–diffusion field. Simulations were performed by considering the fibrous filtration media as an array of identical parallel fibers, in which the flow field was accurately described by an analytical solution. The model of particle movement was described by the random probability distribution characterized by a dimensionless factor, the Peclet number (Pe), based on a convection–diffusive equation of particle transport in fluid. The influence of the particle Peclet number (Pe) on the particle deposition process and the resulting deposition morphology was investigated. The results were analyzed in terms of dust layer growth, particles’ trajectories and dust layer porosity for a vast range of Peclet numbers. The development of distinct deposition morphologies was found by varying the Peclet number (Pe). With a small Peclet number, diffusion dominated deposition and led to the formation of a more open and looser dust layer structure, while with larger Peclet numbers, convection dominated deposition and was found to form compact deposits. According to the change in the location of the packing densities along the dust layer height direction, the dust layer structure could be divided into three typical parts: the substructure, main profile and surface layer. In addition, the deposit morphologies observed for a high Pe were in good agreement with the experimental results found in the literature.

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