@article{daa34b26222d4e9f93a09e0d68c2f91c,
title = "Monte Carlo simulation of polydisperse particle deposition and coagulation dynamics in enclosed chambers",
abstract = "A novel Monte Carlo method is proposed to improve the computational accuracy and efficiency of Monte Carlo methods in examining the polydisperse micro- and nano-particle dynamics including deposition and coagulation processes in enclosed or vacuum chambers. In the original differentially weighted Monte Carlo (DWMC) method, the coagulation and deposition events are both treated by stochastic approaches. In the present study, the deposition event is solved by a deterministic method where a proportion of the deposited real particles inside a simulated particle is determined by a probability related to the deposition kernel. Furthermore, the operator splitting method is adopted to couple the stochastic and deterministic processes. This method is verified against both analytical solutions and experimental results for particle deposition and coagulation dynamics. The particle size distributions are obtained and the results exhibit excellent accordance with the corresponding analytical solutions and experimental results. Compared with the original DWMC method, the simulation results show that the proposed Monte Carlo method can obtain very favorable improvement in both computational accuracy and efficiency.",
keywords = "Coagulation, Deposition, Monte Carlo simulation, Paper ash particles, Particle size distribution, Sodium chloride aerosols",
author = "Hongmei Liu and Wei Jiang and Wenming Liu and Xuedong Liu and Shuyuan Liu and Chan, {Tat Leung}",
note = "Funding Information: The development of the proposed Monte Carlo method was supported by the financial support from National Natural Science Foundation of China (No. 51806048), China, Key Foundation of Science and Technology on Combustion, Internal Flow and Thermal-Structure Laboratory 6142701190106), Xi'an, China and the Program of Shenzhen Technology Projects (JCYJ20180306171941256), Shenzhen, China. This work was also supported by the grants from the General Research Fund, Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. PolyU 152125/15E), and the Central Research Grant of The Hong Kong Polytechnic University (Project No. B-Q47Y), Hong Kong. Lastly, the present work is the further development and extension of the developed differentially weighted operator splitting Monte Carlo (DWOSMC) method during the first author's PhD study at the Department of Mechanical Engineering in The Hong Kong Polytechnic University. Funding Information: The development of the proposed Monte Carlo method was supported by the financial support from National Natural Science Foundation of China (No. 51806048 ), China, Key Foundation of Science and Technology on Combustion, Internal Flow and Thermal-Structure Laboratory 6142701190106 ), Xi{\textquoteright}an, China and the Program of Shenzhen Technology Projects ( JCYJ20180306171941256 ), Shenzhen, China. This work was also supported by the grants from the General Research Fund, Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. PolyU 152125/15E ), and the Central Research Grant of The Hong Kong Polytechnic University (Project No. B-Q47Y ), Hong Kong. Lastly, the present work is the further development and extension of the developed differentially weighted operator splitting Monte Carlo (DWOSMC) method during the first author{\textquoteright}s PhD study at the Department of Mechanical Engineering in The Hong Kong Polytechnic University. Publisher Copyright: {\textcopyright} 2020",
year = "2021",
month = feb,
doi = "10.1016/j.vacuum.2020.109952",
language = "English",
volume = "184",
journal = "Vacuum",
issn = "0042-207X",
publisher = "Elsevier Ltd",
}