Eulerian-Lagranigan simulation of aerosol evolution in turbulent mixing layer

Zhou, Kun; Jiang, Xiao; Sun, Ke; He, Zhu

doi:10.1007/s10483-016-2134-9

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…e stochastic method used here for soot dynamics was developed by the authors, which has been thoroughly veri ed against classical testing cases [13], and has been successfully used to simulate soot dynamics in combustion ames [14,25] and general aerosol in turbulent ows [26,27].…”

Section: Veri Cation and Validationmentioning

confidence: 99%

Stochastic Simulation of Soot Formation Evolution in Counterflow Diffusion Flames

Jiang

Zhou

Xiao

et al. 2018

Journal of Nanotechnology

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Soot generally refers to carbonaceous particles formed during incomplete combustion of hydrocarbon fuels. A typical simulation of soot formation and evolution contains two parts: gas chemical kinetics, which models the chemical reaction from hydrocarbon fuels to soot precursors, that is, polycyclic aromatic hydrocarbons or PAHs, and soot dynamics, which models the soot formation from PAHs and evolution due to gas-soot and soot-soot interactions. In this study, two detailed gas kinetic mechanisms (ABF and KM2) have been compared during the simulation (using the solver Chemkin II) of ethylene combustion in counterflow diffusion flames. Subsequently, the operator splitting Monte Carlo method is used to simulate the soot dynamics. Both the simulated data from the two mechanisms for gas and soot particles are compared with experimental data available in the literature. It is found that both mechanisms predict similar profiles for the gas temperature and velocity, agreeing well with measurements. However, KM2 mechanism provides much closer prediction compared to measurements for soot gas precursors. Furthermore, KM2 also shows much better predictions for soot number density and volume fraction than ABF. The effect of nozzle exit velocity on soot dynamics has also been investigated. Higher nozzle exit velocity renders shorter residence time for soot particles, which reduces the soot number density and volume fraction accordingly.

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Section: Veri Cation and Validationmentioning

confidence: 99%

Stochastic Simulation of Soot Formation Evolution in Counterflow Diffusion Flames

Jiang

Zhou

Xiao

et al. 2018

Journal of Nanotechnology

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“…. When considering nanoparticle concentration effect to deposition distribution, the particle evolution process is one influencing factor in certain conditions with particle nucleation, coagulation, and growth [29,44,45]. For example, Koivisto et al and their later study conducted size-dependent analysis of the indoor suspended particle coagulation effect on deposition behaviour [46].…”

Section: Particle Evolution Effectmentioning

confidence: 99%

Experimental Views of Tran-Bend Particle Deposition in Turbulent Flow with Nanoscale Effect

Zhou

Sun

Jiang

et al. 2018

Journal of Nanotechnology

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This paper presented experimental views of nano- and microaerosol distribution and deposition in turbulent tran-bend flows. These views included the particle flow measurement and particle depositions through individual bends, bifurcation bends, and those behind bends. Selected experiments were summarized and compared according to the gas flow, the bend geometry, and the particle flow properties. Based on recent studies, the influencing factors of environmental humidity, particle and surface properties, nanoparticle formation, coagulation, or evolution phenomena were discussed, and then research suggestions were given for future research and applications. It is specially mentioned that the new particle formation and nanoparticle growth affect its deposition under environmental contaminant conditions; nanoscale particle dynamics and transport have a growing trend on attracting the research and industry attentions.

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Effects of wind flow structure, particle flow and deposition pattern on photovoltaic energy harvest around a block

et al. 2019

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Eulerian-Lagranigan simulation of aerosol evolution in turbulent mixing layer

Cited by 4 publications

References 23 publications

Stochastic Simulation of Soot Formation Evolution in Counterflow Diffusion Flames

Stochastic Simulation of Soot Formation Evolution in Counterflow Diffusion Flames

Experimental Views of Tran-Bend Particle Deposition in Turbulent Flow with Nanoscale Effect

Effects of wind flow structure, particle flow and deposition pattern on photovoltaic energy harvest around a block

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