A Study of Particle Histories During Spray Drying using Computational Fluid Dynamic Simulations

Computational fluid dynamics (CFD) models for short-form and tall-form spray dryers have been developed, assuming constant rate drying and including particle tracking using the source-in-cell method. The predictions from these models have been validated against published experimental data and other...

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Main Authors:	Anandharamakrishnan, C., Jolius, Gimbun, Stapley, Andrew G. F., Rielly, Chris D.
Format:	Article
Language:	English
Published:	Taylor & Francis 2010
Subjects:	TP Chemical technology
Online Access:	http://umpir.ump.edu.my/id/eprint/11833/ http://umpir.ump.edu.my/id/eprint/11833/ http://umpir.ump.edu.my/id/eprint/11833/ http://umpir.ump.edu.my/id/eprint/11833/1/A%20Study%20of%20Particle%20Histories%20during%20Spray%20Drying%20Using%20Computational%20Fluid%20Dynamic%20Simulations.pdf

id	ump-11833
recordtype	eprints
spelling	ump-118332018-01-08T03:01:06Z http://umpir.ump.edu.my/id/eprint/11833/ A Study of Particle Histories During Spray Drying using Computational Fluid Dynamic Simulations Anandharamakrishnan, C. Jolius, Gimbun Stapley, Andrew G. F. Rielly, Chris D. TP Chemical technology Computational fluid dynamics (CFD) models for short-form and tall-form spray dryers have been developed, assuming constant rate drying and including particle tracking using the source-in-cell method. The predictions from these models have been validated against published experimental data and other simulations. This study differs from previous work in that particle time histories for velocity, temperature, and residence time and their impact positions on walls during spray drying have been extracted from the simulations. Due to wet-bulb protection effects, particle temperatures are often substantially different from gas temperatures, which is important, because the particle temperature–time history has the most direct impact on product quality. The CFD simulation of an existing tall-form spray dryer indicated that more than 60% of the particles impacted on the cylindrical wall and this may adversely affect product quality, because solids may adhere to the wall for appreciable times, dry out, and lose their wet-bulb protection. The model also predicts differences between the particle primary residence time distributions (RTD) and the gas phase RTD. This study indicates that a short-form dryer with a bottom outlet is more suitable for drying of heat-sensitive products, such as proteins, due to the low amounts of recirculated gas and hence shorter residence time of the particles. Taylor & Francis 2010-05-13 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11833/1/A%20Study%20of%20Particle%20Histories%20during%20Spray%20Drying%20Using%20Computational%20Fluid%20Dynamic%20Simulations.pdf Anandharamakrishnan, C. and Jolius, Gimbun and Stapley, Andrew G. F. and Rielly, Chris D. (2010) A Study of Particle Histories During Spray Drying using Computational Fluid Dynamic Simulations. Drying Technology, 28 (5). pp. 566-576. ISSN 0737-3937 http://dx.doi.org/10.1080/07373931003787918 DOI: 10.1080/07373931003787918
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 Anandharamakrishnan, C. Jolius, Gimbun Stapley, Andrew G. F. Rielly, Chris D. A Study of Particle Histories During Spray Drying using Computational Fluid Dynamic Simulations
description	Computational fluid dynamics (CFD) models for short-form and tall-form spray dryers have been developed, assuming constant rate drying and including particle tracking using the source-in-cell method. The predictions from these models have been validated against published experimental data and other simulations. This study differs from previous work in that particle time histories for velocity, temperature, and residence time and their impact positions on walls during spray drying have been extracted from the simulations. Due to wet-bulb protection effects, particle temperatures are often substantially different from gas temperatures, which is important, because the particle temperature–time history has the most direct impact on product quality. The CFD simulation of an existing tall-form spray dryer indicated that more than 60% of the particles impacted on the cylindrical wall and this may adversely affect product quality, because solids may adhere to the wall for appreciable times, dry out, and lose their wet-bulb protection. The model also predicts differences between the particle primary residence time distributions (RTD) and the gas phase RTD. This study indicates that a short-form dryer with a bottom outlet is more suitable for drying of heat-sensitive products, such as proteins, due to the low amounts of recirculated gas and hence shorter residence time of the particles.
format	Article
author	Anandharamakrishnan, C. Jolius, Gimbun Stapley, Andrew G. F. Rielly, Chris D.
author_facet	Anandharamakrishnan, C. Jolius, Gimbun Stapley, Andrew G. F. Rielly, Chris D.
author_sort	Anandharamakrishnan, C.
title	A Study of Particle Histories During Spray Drying using Computational Fluid Dynamic Simulations
title_short	A Study of Particle Histories During Spray Drying using Computational Fluid Dynamic Simulations
title_full	A Study of Particle Histories During Spray Drying using Computational Fluid Dynamic Simulations
title_fullStr	A Study of Particle Histories During Spray Drying using Computational Fluid Dynamic Simulations
title_full_unstemmed	A Study of Particle Histories During Spray Drying using Computational Fluid Dynamic Simulations
title_sort	study of particle histories during spray drying using computational fluid dynamic simulations
publisher	Taylor & Francis
publishDate	2010
url	http://umpir.ump.edu.my/id/eprint/11833/ http://umpir.ump.edu.my/id/eprint/11833/ http://umpir.ump.edu.my/id/eprint/11833/ http://umpir.ump.edu.my/id/eprint/11833/1/A%20Study%20of%20Particle%20Histories%20during%20Spray%20Drying%20Using%20Computational%20Fluid%20Dynamic%20Simulations.pdf
first_indexed	2023-09-18T22:12:50Z
last_indexed	2023-09-18T22:12:50Z
_version_	1777415141663440896

A Study of Particle Histories During Spray Drying using Computational Fluid Dynamic Simulations

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