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Aerosol Science and Technology Volume 47, 2013 - Issue 10
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Original Articles

Population Balance-Monte Carlo Simulation for Gas-to-Particle Synthesis of Nanoparticles

Xiaoming Hao State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan, China
,
Haibo Zhao State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan, China
,
Zuwei Xu State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan, China
&
Chuguang Zheng State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan, China
Pages 1125-1133 | Received 27 Mar 2013, Accepted 21 Jun 2013, Published online: 08 Aug 2013

Citations (28)

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Gregor Kotalczyk, Ivan SkenderoviĆ & Frank Einar Kruis. (2019) Monte Carlo simulations of homogeneous nucleation and particle growth in the presence of background particles. Tellus B: Chemical and Physical Meteorology 71:1.
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Articles from other publishers (27)

Jakub M. Gac. (2022) Numerical Modelling of Formation of Highly Ordered Structured Micro- and Nanoparticles – A Review. KONA Powder and Particle Journal 39:0, pages 45-61.
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Yung-Shun Kang, Jeffrey D. Ward & Zoltán K. Nagy. (2022) A new framework and a hybrid method for one-dimensional population balance modeling of batch thermocycling crystallization. Computers & Chemical Engineering 157, pages 107588.
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Yuanyi Wu & Sohrab Rohani. (2021) A new highly efficient and stable population array (PA) algorithm to solve multi-dimension population balance equation. Chemical Engineering Science 246, pages 116994.
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D. Papoulias, A. Vichansky & M. Tandon. (2020) Multi-fluid modelling of bubbly channel flows with an adaptive multi-group population balance method. Experimental and Computational Multiphase Flow 3:3, pages 171-185.
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Xiaoteng Shen, Mingze Lin, Yuliang Zhu, Ho Kyung Ha, Michael Fettweis, Tianfeng Hou, Erik A. Toorman, Jerome P.-Y. Maa & Jinfeng Zhang. (2021) A quasi-Monte Carlo based flocculation model for fine-grained cohesive sediments in aquatic environments. Water Research 194, pages 116953.
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Mehakpreet Singh, Ashish Kumar, Saeed Shirazian, Vivek Ranade & Gavin Walker. (2020) Characterization of Simultaneous Evolution of Size and Composition Distributions Using Generalized Aggregation Population Balance Equation. Pharmaceutics 12:12, pages 1152.
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Hongmei Liu & Tat Leung Chan. (2019) A coupled LES-Monte Carlo method for simulating aerosol dynamics in a turbulent planar jet. International Journal of Numerical Methods for Heat & Fluid Flow 30:2, pages 855-881.
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Aniruddha Majumder. 2020. Lattice Boltzmann Modeling for Chemical Engineering. Lattice Boltzmann Modeling for Chemical Engineering 1 79 .
Gregor Kotalczyk & Frank Einar Kruis. 2020. Dynamic Flowsheet Simulation of Solids Processes. Dynamic Flowsheet Simulation of Solids Processes 519 548 .
Andrew D. McGuire, Sebastian Mosbach, Gavin K. Reynolds, Robert I.A. Patterson, Eric Bringley, Nick Eaves, Jochen A.H. Dreyer & Markus Kraft. (2019) Analysing the effect of screw configuration using a stochastic twin-screw granulation model. Chemical Engineering Science 203, pages 358-379.
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Hanqing Zhao, Zuwei Xu & Haibo Zhao. (2019) Population balance Monte Carlo simulation of self-assembly of core (micro-Al2O3)-shell (nano-TiO2) structure in aqueous suspensions. Chemical Engineering Science 199, pages 100-112.
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Lucien Gallen, Anne Felden, Eleonore Riber & Bénédicte Cuenot. (2019) Lagrangian tracking of soot particles in LES of gas turbines. Proceedings of the Combustion Institute 37:4, pages 5429-5436.
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G. Kotalczyk & F.E. Kruis. (2018) Fractional Monte Carlo time steps for the simulation of coagulation for parallelized flowsheet simulations. Chemical Engineering Research and Design 136, pages 71-82.
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Mingzhou Yu & Jianzhong Lin. (2018) Taylor series expansion scheme applied for solving population balance equation. Reviews in Chemical Engineering 34:4, pages 561-594.
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Deshuai Sun, Xiaodong Zhang, Zhongyi Zhang, Long Fang & Hui Du. (2018) Removal of inhalable particles from coal and refuse combustion by agglomeration with solid nuclei. Particuology 37, pages 127-133.
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Seyyed Ali Davari & Dibyendu Mukherjee. (2017) Kinetic Monte Carlo simulation for homogeneous nucleation of metal nanoparticles during vapor phase synthesis. AIChE Journal 64:1, pages 18-28.
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Mingzhou Yu & Jianzhong Lin. (2017) Hybrid method of moments with interpolation closure–Taylor-series expansion method of moments scheme for solving the Smoluchowski coagulation equation. Applied Mathematical Modelling 52, pages 94-106.
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Hecham M. Omar & Sohrab Rohani. (2017) Crystal Population Balance Formulation and Solution Methods: A Review. Crystal Growth & Design 17:7, pages 4028-4041.
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G. Kotalczyk & F.E. Kruis. (2017) A Monte Carlo method for the simulation of coagulation and nucleation based on weighted particles and the concepts of stochastic resolution and merging. Journal of Computational Physics 340, pages 276-296.
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Ruzica Djenadic & Markus Winterer. (2017) Control of nanoparticle agglomeration through variation of the time-temperature profile in chemical vapor synthesis. Journal of Nanoparticle Research 19:2.
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Shuyuan Liu & Tat L. Chan. (2017) A stochastically weighted operator splitting Monte Carlo (SWOSMC) method for the numerical simulation of complex aerosol dynamic processes. International Journal of Numerical Methods for Heat & Fluid Flow 27:1, pages 263-278.
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Zuwei Xu, Hanqing Zhao & Haibo Zhao. (2017) CFD-population balance Monte Carlo simulation and numerical optimization for flame synthesis of TiO2 nanoparticles. Proceedings of the Combustion Institute 36:1, pages 1099-1108.
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Zuwei Xu & Haibo Zhao. (2015) Simultaneous measurement of internal and external properties of nanoparticles in flame based on thermophoresis. Combustion and Flame 162:5, pages 2200-2213.
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Xiaoming Hao, Haibo Zhao, Zuwei Xu & Chuguang Zheng. (2015) Identification of the compensation effect in the characteristic sintering time model for population balances. Journal of Aerosol Science 82, pages 1-12.
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Jianming Wei. (2015) Comments on paper: “Evolution of aggregate size and fractal dimension during Brownian coagulation” by Margaritis Kostoglou, Athanasios G. Konstandopoulos. Journal of Aerosol Science 81, pages 21-23.
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Zuwei Xu, Haibo Zhao & Chuguang Zheng. (2015) Accelerating population balance-Monte Carlo simulation for coagulation dynamics from the Markov jump model, stochastic algorithm and GPU parallel computing. Journal of Computational Physics 281, pages 844-863.
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Haibo Zhao & Frank Einar Kruis. (2014) Dependence of Steady-State Compositional Mixing Degree on Feeding Conditions in Two-Component Aggregation. Industrial & Engineering Chemistry Research 53:14, pages 6047-6055.
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