CFD Simulation of Dust Cloud Formation in Silo

Silo feeding process via pneumatic transport pipe will generates the initial turbulence that causes the dispersion of particles in air. This phenomenon is known as dust cloud formation which is likelihood for an explosive atmosphere. Thus, understanding of dust cloud formation in silo is important...

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Main Authors:	Siti Ilyani, Rani, Jolius, Gimbun, Badhrulhisham, Abdul Aziz
Format:	Article
Language:	English
Published:	AENSI Publishing 2014
Subjects:	TP Chemical technology
Online Access:	http://umpir.ump.edu.my/id/eprint/10528/ http://umpir.ump.edu.my/id/eprint/10528/ http://umpir.ump.edu.my/id/eprint/10528/1/CFD%20Simulation%20of%20Dust%20Cloud%20Formation%20in%20Silo.pdf

id	ump-10528
recordtype	eprints
spelling	ump-105282018-02-21T03:13:24Z http://umpir.ump.edu.my/id/eprint/10528/ CFD Simulation of Dust Cloud Formation in Silo Siti Ilyani, Rani Jolius, Gimbun Badhrulhisham, Abdul Aziz TP Chemical technology Silo feeding process via pneumatic transport pipe will generates the initial turbulence that causes the dispersion of particles in air. This phenomenon is known as dust cloud formation which is likelihood for an explosive atmosphere. Thus, understanding of dust cloud formation in silo is important for safety measures. This paper presents the results of flow field, in terms of mean and root mean square (RMS) velocity of dust cloud in a silo during axial feeding using commercial computational fluid dynamics (CFD) code,Fluent. The influence of grid size, modeling approach and discretization schemes were examined using turbulence model namely renormalization group k-ε (RNG) combined with disperse phase model (DPM) which follows Eulerian-Lagrangian (E-L) approach.The E-L approach treats solid particles as moving points in the computational domain and their movement is tracked as they moved through the gas flow. Two-way coupling effect was considered since the continuous phase flow field is impacted by the discrete phase. The profiles of mean and RMS velocity at five different axial locations Z = 750 mm, 1750 mm, 2750 mm, 3750 mm and 4750 mm were examined to recognized the flow pattern inside silo. Predicted mean and RMS velocity using combination of DPM and RNG turbulence model with various discretization and pressure interpolation schemes were plotted and compared against experimental measurement adopted from literature,showing a plausibly good agreement with second order upwind scheme and standard pressure interpolation scheme. It was found that predicted flow field has a great influence to the silo height. Higher mean velocity in downward direction was predicted in the center region closer to the top of the silo due to gravitational force on the particles.Moreover, it was found that turbulence flow (RMS velocity) is correspondingly increase with increasing the axial positions, indicating that region closer to the feeding inlet favor the initial turbulence formation. This suggests that combination of RNG turbulence model and DPM could be employed in dust cloud formation study. AENSI Publishing 2014 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/10528/1/CFD%20Simulation%20of%20Dust%20Cloud%20Formation%20in%20Silo.pdf Siti Ilyani, Rani and Jolius, Gimbun and Badhrulhisham, Abdul Aziz (2014) CFD Simulation of Dust Cloud Formation in Silo. Australian Journal of Basic and Applied Sciences, 8 (4). pp. 521-527. ISSN 1991-8178 http://www.ajbasweb.com/old/ajbas/2014/Special/521-527.pdf
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TP Chemical technology
spellingShingle	TP Chemical technology Siti Ilyani, Rani Jolius, Gimbun Badhrulhisham, Abdul Aziz CFD Simulation of Dust Cloud Formation in Silo
description	Silo feeding process via pneumatic transport pipe will generates the initial turbulence that causes the dispersion of particles in air. This phenomenon is known as dust cloud formation which is likelihood for an explosive atmosphere. Thus, understanding of dust cloud formation in silo is important for safety measures. This paper presents the results of flow field, in terms of mean and root mean square (RMS) velocity of dust cloud in a silo during axial feeding using commercial computational fluid dynamics (CFD) code,Fluent. The influence of grid size, modeling approach and discretization schemes were examined using turbulence model namely renormalization group k-ε (RNG) combined with disperse phase model (DPM) which follows Eulerian-Lagrangian (E-L) approach.The E-L approach treats solid particles as moving points in the computational domain and their movement is tracked as they moved through the gas flow. Two-way coupling effect was considered since the continuous phase flow field is impacted by the discrete phase. The profiles of mean and RMS velocity at five different axial locations Z = 750 mm, 1750 mm, 2750 mm, 3750 mm and 4750 mm were examined to recognized the flow pattern inside silo. Predicted mean and RMS velocity using combination of DPM and RNG turbulence model with various discretization and pressure interpolation schemes were plotted and compared against experimental measurement adopted from literature,showing a plausibly good agreement with second order upwind scheme and standard pressure interpolation scheme. It was found that predicted flow field has a great influence to the silo height. Higher mean velocity in downward direction was predicted in the center region closer to the top of the silo due to gravitational force on the particles.Moreover, it was found that turbulence flow (RMS velocity) is correspondingly increase with increasing the axial positions, indicating that region closer to the feeding inlet favor the initial turbulence formation. This suggests that combination of RNG turbulence model and DPM could be employed in dust cloud formation study.
format	Article
author	Siti Ilyani, Rani Jolius, Gimbun Badhrulhisham, Abdul Aziz
author_facet	Siti Ilyani, Rani Jolius, Gimbun Badhrulhisham, Abdul Aziz
author_sort	Siti Ilyani, Rani
title	CFD Simulation of Dust Cloud Formation in Silo
title_short	CFD Simulation of Dust Cloud Formation in Silo
title_full	CFD Simulation of Dust Cloud Formation in Silo
title_fullStr	CFD Simulation of Dust Cloud Formation in Silo
title_full_unstemmed	CFD Simulation of Dust Cloud Formation in Silo
title_sort	cfd simulation of dust cloud formation in silo
publisher	AENSI Publishing
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/10528/ http://umpir.ump.edu.my/id/eprint/10528/ http://umpir.ump.edu.my/id/eprint/10528/1/CFD%20Simulation%20of%20Dust%20Cloud%20Formation%20in%20Silo.pdf
first_indexed	2023-09-18T22:10:14Z
last_indexed	2023-09-18T22:10:14Z
_version_	1777414978257551360

CFD Simulation of Dust Cloud Formation in Silo

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