A CFD-sectional algorithm for population balance equation coupled with multi-dimensional flow dynamics

A novel CFD-sectional algorithm is developed to address the challenges in the existing sectional simulations coupled with multi-dimensional fluid dynamics, including solution of complex sectional coefficients, serious computational burden for lots of coupled partial differential equations, and nonli...

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Main Authors: Shang, Xiaopeng, Wan, Man Pun, Ng, Bing Feng, Ding, Shirun
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/154025
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1540252022-02-18T06:22:51Z A CFD-sectional algorithm for population balance equation coupled with multi-dimensional flow dynamics Shang, Xiaopeng Wan, Man Pun Ng, Bing Feng Ding, Shirun School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Population Balance Modeling Sectional Method A novel CFD-sectional algorithm is developed to address the challenges in the existing sectional simulations coupled with multi-dimensional fluid dynamics, including solution of complex sectional coefficients, serious computational burden for lots of coupled partial differential equations, and nonlinear source terms. The sectional coefficients are specified by a numerical quadrature with adaptive integration limits, which proves to be computationally efficient and accurate. The inter-equation coupling is treated by hybrid-segregated procedures and the source term is linearized by the operator splitting method. The CFD-sectional algorithm is validated against a self-preserving solution of particles undergoing Brownian coagulation. The acoustic agglomeration in a standing wave is simulated as a representative case. It has been demonstrated that the predictions regarding the particle size distribution and agglomeration process agree well with the experimental data, which verifies the capability of the developed CFD-sectional algorithm in simulating the spatially inhomogeneous population balance equation coupled with multi-dimensional flows. Ministry of Education (MOE) Accepted version This study is supported by the Republic of Singapore's Ministry of Education MOE2016-T2-1-063. 2021-12-14T04:13:56Z 2021-12-14T04:13:56Z 2020 Journal Article Shang, X., Wan, M. P., Ng, B. F. & Ding, S. (2020). A CFD-sectional algorithm for population balance equation coupled with multi-dimensional flow dynamics. Powder Technology, 362, 111-125. https://dx.doi.org/10.1016/j.powtec.2019.11.084 0032-5910 https://hdl.handle.net/10356/154025 10.1016/j.powtec.2019.11.084 2-s2.0-85076300934 362 111 125 en MOE2016-T2-1-063 Powder Technology © 2019 Elsevier B.V. All rights reserved. This paper was published in Powder Technology and is made available with permission of Elsevier B.V. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Population Balance Modeling
Sectional Method
spellingShingle Engineering::Mechanical engineering
Population Balance Modeling
Sectional Method
Shang, Xiaopeng
Wan, Man Pun
Ng, Bing Feng
Ding, Shirun
A CFD-sectional algorithm for population balance equation coupled with multi-dimensional flow dynamics
description A novel CFD-sectional algorithm is developed to address the challenges in the existing sectional simulations coupled with multi-dimensional fluid dynamics, including solution of complex sectional coefficients, serious computational burden for lots of coupled partial differential equations, and nonlinear source terms. The sectional coefficients are specified by a numerical quadrature with adaptive integration limits, which proves to be computationally efficient and accurate. The inter-equation coupling is treated by hybrid-segregated procedures and the source term is linearized by the operator splitting method. The CFD-sectional algorithm is validated against a self-preserving solution of particles undergoing Brownian coagulation. The acoustic agglomeration in a standing wave is simulated as a representative case. It has been demonstrated that the predictions regarding the particle size distribution and agglomeration process agree well with the experimental data, which verifies the capability of the developed CFD-sectional algorithm in simulating the spatially inhomogeneous population balance equation coupled with multi-dimensional flows.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Shang, Xiaopeng
Wan, Man Pun
Ng, Bing Feng
Ding, Shirun
format Article
author Shang, Xiaopeng
Wan, Man Pun
Ng, Bing Feng
Ding, Shirun
author_sort Shang, Xiaopeng
title A CFD-sectional algorithm for population balance equation coupled with multi-dimensional flow dynamics
title_short A CFD-sectional algorithm for population balance equation coupled with multi-dimensional flow dynamics
title_full A CFD-sectional algorithm for population balance equation coupled with multi-dimensional flow dynamics
title_fullStr A CFD-sectional algorithm for population balance equation coupled with multi-dimensional flow dynamics
title_full_unstemmed A CFD-sectional algorithm for population balance equation coupled with multi-dimensional flow dynamics
title_sort cfd-sectional algorithm for population balance equation coupled with multi-dimensional flow dynamics
publishDate 2021
url https://hdl.handle.net/10356/154025
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