Eulerian-Lagranigan simulation of aerosol evolution in turbulent mixing layer
Type
ArticleAuthors
Zhou, Kun
Jiang, Xiao
Sun, Ke
He, Zhu
KAUST Department
Clean Combustion Research CenterDate
2016-09-23Online Publication Date
2016-09-23Print Publication Date
2016-10Permanent link to this record
http://hdl.handle.net/10754/622195
Metadata
Show full item recordAbstract
The formation and evolution of aerosol in turbulent flows are ubiquitous in both industrial processes and nature. The intricate interaction of turbulent mixing and aerosol evolution in a canonical turbulent mixing layer was investigated by a direct numerical simulation (DNS) in a recent study (Zhou, K., Attili, A., Alshaarawi, A., and Bisetti, F. Simulation of aerosol nucleation and growth in a turbulent mixing layer. Physics of Fluids, 26, 065106 (2014)). In this work, Monte Carlo (MC) simulation of aerosol evolution is carried out along Lagrangian trajectories obtained in the previous simulation, in order to quantify the error of the moment method used in the previous simulation. Moreover, the particle size distribution (PSD), not available in the previous works, is also investigated. Along a fluid parcel moving through the turbulent flow, temperature and vapor concentration exhibit complex fluctuations, triggering complicate aerosol processes and rendering complex PSD. However, the mean PSD is found to be bi-modal in most of the mixing layer except that a tri-modal distribution is found in the turbulent transition region. The simulated PSDs agree with the experiment observations available in the literature. A different explanation on the formation of such PSDs is provided.Citation
Zhou K, Jiang X, Sun K, He Z (2016) Eulerian-Lagranigan simulation of aerosol evolution in turbulent mixing layer. Applied Mathematics and Mechanics 37: 1305–1314. Available: http://dx.doi.org/10.1007/s10483-016-2134-9.Sponsors
Project supported by the National Natural Science Foundation of China (Nos. 11402179 and 11572274)Publisher
Springer NatureAdditional Links
http://link.springer.com/article/10.1007%2Fs10483-016-2134-9ae974a485f413a2113503eed53cd6c53
10.1007/s10483-016-2134-9