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Title: Numerical investigation of spatially nonhomogeneous acoustic agglomeration using sectional algorithm
Authors: Shang, Xiaopeng
Ng, Bing Feng
Wan, Man Pun
Xiong, Jinwen
Arikrishnan, Shmitha
Keywords: Engineering::Mechanical engineering
Acoustic Agglomeration
Issue Date: 2018
Source: Shang, X., Ng, B. F., Wan, M. P., Xiong, J., & Arikrishnan, S. (2018). Numerical investigation of spatially nonhomogeneous acoustic agglomeration using sectional algorithm. Aerosol Science and Technology, 52(8), 872-885. doi:10.1080/02786826.2018.1475723
Series/Report no.: Aerosol Science and Technology
Abstract: In the simulation of acoustic agglomeration, the conventional temporal model assumes spatial homogeneity in aerosol properties and sound field, which is often not the case in real applications. In this article, we investigated the effects of spatial nonhomogeneity of sound field on the acoustic agglomeration process through a one-dimensional spatial sectional model. The spatial sectional model is validated against existing experimental data and results indicate lower requirements on the number of sections and better accuracy. Two typical cases of spatial nonhomogeneous acoustic agglomeration are studied by the established model. The first case involves acoustic agglomeration in a standing wave field with spatial alternation of acoustic kernels from nodes to antinodes. The good agreement between the simulation and experiments demonstrates the predictive capability of the present spatial sectional model for the standing-conditioned agglomeration. The second case incorporates sound attenuation in the particulate medium into acoustic agglomeration. Results indicate that sound attenuation can influence acoustic agglomeration significantly, particularly at high frequencies, and neglecting the effects of sound attenuation can cause overprediction of agglomeration rates. The present investigation demonstrates that the spatial sectional method is capable of simulating the spatially nonhomogeneous acoustic agglomeration with high computation efficiency and numerical robustness and the coupling with flow dynamics will be the goal of future work.
ISSN: 0278-6826
DOI: 10.1080/02786826.2018.1475723
Schools: School of Mechanical and Aerospace Engineering 
Rights: © 2018 American Association for Aerosol Research. All rights reserved. This paper was published by Taylor & Francis in Aerosol Science and Technology and is made available with permission of American Association for Aerosol Research.
Fulltext Permission: open
Fulltext Availability: With Fulltext
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