Two-step simulation combining large eddy simulation and population balance Monte Carlo for nanoparticle synthesis in flame spray pyrolysis

被引:0
作者
He, Song [1 ]
Su, Zhijing [1 ]
Shang, Cheng [1 ]
Lu, Hao [1 ]
Xu, Zuwei [1 ]
Zhao, Haibo [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Energy & Power Engn, State Key Lab Coal Combust, 1037 Luoyu Rd, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
flame spray pyrolysis; large eddy simulation; population balance Monte Carlo; ZrO2; nanoparticle; AEROSOL SYNTHESIS; TEMPERATURE; PARTICLES; DYNAMICS;
D O I
10.1002/aic.18498
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
A two-step simulation approach combining large eddy simulation (LES) for turbulent flame and multidimensional/multivariate population balance Monte Carlo (PBMC) for nanoparticle dynamics is proposed to explore the detailed flame fields and particle dynamics of zirconia nanoparticles in a flame spray pyrolysis (FSP) reactor. The turbulent combustion of gas and spray are simulated by the nonlinear LES-partially stirred reactor model. Thereafter, the differentially weighted PBMC is applied for the first time to describe the spatially resolved formation and growth of nanoparticles using the flame fields derived from LES as an input. An efficient submodel for particle spatial transport in multidimensional grids is adopted and tested to account for the effect of thermophoresis, convective and diffusion of the nanoparticles. This methodology is successfully applied to an FSP case, demonstrating a reliable level of fidelity when compared to experiments and other model. Simulation results are discussed, in particular the flame fields and the size, morphology, as well as polydisperse primary particle and aggregates size distribution.
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页数:11
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共 34 条
  • [1] Direct Numerical Simulation of Turbulent Spray Combustion in the SpraySyn Burner: Impact of Injector Geometry
    Abdelsamie, Abouelmagd
    Chi, Cheng
    Nanjaiah, Monika
    Skenderovic, Ivan
    Suleiman, Samer
    Thevenin, Dominique
    [J]. FLOW TURBULENCE AND COMBUSTION, 2021, 106 (02) : 453 - 469
  • [2] [Anonymous], 2000, Smoke, Dust and Haze: Fundamentals of Aerosol Behavior
  • [3] [Anonymous], 2003, Computational Models for Turbulent Reacting Flows, DOI 10.1017/CBO9780511610103
  • [4] Turbulent Dispersed Multiphase Flow
    Balachandar, S.
    Eaton, John K.
    [J]. ANNUAL REVIEW OF FLUID MECHANICS, 2010, 42 : 111 - 133
  • [5] Frde F., 2023, APPL ENERG COMBUST S, V16
  • [6] Flame spray pyrolysis made Pt/TiO2 photocatalysts with ultralow platinum loading and high hydrogen production activity
    Gao, Fuchang
    Xu, Zuwei
    Zhao, Haibo
    [J]. PROCEEDINGS OF THE COMBUSTION INSTITUTE, 2021, 38 (04) : 6503 - 6511
  • [7] Scale-up of Nanoparticle Synthesis by Flame Spray Pyrolysis: The High-Temperature Particle Residence Time
    Groehn, Arto J.
    Pratsinis, Sotiris E.
    Sanchez-Ferrer, Antoni
    Mezzenga, Raffaele
    Wegner, Karsten
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2014, 53 (26) : 10734 - 10742
  • [8] Fluid-particle dynamics during combustion spray aerosol synthesis of ZrO2
    Groehn, Arto J.
    Pratsinis, Sotiris E.
    Wegner, Karsten
    [J]. CHEMICAL ENGINEERING JOURNAL, 2012, 191 : 491 - 502
  • [9] Computational fluid dynamics based stochastic aerosol modeling: Combination of a cell-based weighted random walk method and a constant-number Monte-Carlo method for aerosol dynamics
    Kruis, F. Einar
    Wei, Jianming
    van der Zwaag, Till
    Haep, Stefan
    [J]. CHEMICAL ENGINEERING SCIENCE, 2012, 70 : 109 - 120
  • [10] Flame aerosol synthesis of nanostructured materials and functional devices: Processing, modeling, and diagnostics
    Li, Shuiqing
    Ren, Yihua
    Biswas, Pratim
    Tse, Stephen D.
    [J]. PROGRESS IN ENERGY AND COMBUSTION SCIENCE, 2016, 55 : 1 - 59