Numerical investigation of spatially nonhomogeneous acoustic agglomeration using sectional algorithm
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 a...
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sg-ntu-dr.10356-832432023-03-04T17:15:07Z Numerical investigation of spatially nonhomogeneous acoustic agglomeration using sectional algorithm Shang, Xiaopeng Ng, Bing Feng Wan, Man Pun Xiong, Jinwen Arikrishnan, Shmitha School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Acoustic Agglomeration Engineering 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. MOE (Min. of Education, S’pore) Accepted version 2019-10-10T06:38:05Z 2019-12-06T15:18:13Z 2019-10-10T06:38:05Z 2019-12-06T15:18:13Z 2018 Journal Article 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 0278-6826 https://hdl.handle.net/10356/83243 http://hdl.handle.net/10220/50134 10.1080/02786826.2018.1475723 en Aerosol Science and Technology © 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. 25 p. application/pdf |
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Engineering::Mechanical engineering Acoustic Agglomeration Engineering Shang, Xiaopeng Ng, Bing Feng Wan, Man Pun Xiong, Jinwen Arikrishnan, Shmitha Numerical investigation of spatially nonhomogeneous acoustic agglomeration using sectional algorithm |
description |
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. |
author2 |
School of Mechanical and Aerospace Engineering |
author_facet |
School of Mechanical and Aerospace Engineering Shang, Xiaopeng Ng, Bing Feng Wan, Man Pun Xiong, Jinwen Arikrishnan, Shmitha |
format |
Article |
author |
Shang, Xiaopeng Ng, Bing Feng Wan, Man Pun Xiong, Jinwen Arikrishnan, Shmitha |
author_sort |
Shang, Xiaopeng |
title |
Numerical investigation of spatially nonhomogeneous acoustic agglomeration using sectional algorithm |
title_short |
Numerical investigation of spatially nonhomogeneous acoustic agglomeration using sectional algorithm |
title_full |
Numerical investigation of spatially nonhomogeneous acoustic agglomeration using sectional algorithm |
title_fullStr |
Numerical investigation of spatially nonhomogeneous acoustic agglomeration using sectional algorithm |
title_full_unstemmed |
Numerical investigation of spatially nonhomogeneous acoustic agglomeration using sectional algorithm |
title_sort |
numerical investigation of spatially nonhomogeneous acoustic agglomeration using sectional algorithm |
publishDate |
2019 |
url |
https://hdl.handle.net/10356/83243 http://hdl.handle.net/10220/50134 |
_version_ |
1759858328334237696 |