Application of Computational Fluid Dynamics (CFD) Simulations to Spray-Freezing Operations

A 3D computational fluid dynamics (CFD) simulation for spray-freezing in a cold gas has been developed and used to identify design improvements. This model includes an approximate method to model the latent heat of fusion and is able to track particle trajectories. The simulation predictions agreed...

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Main Authors: Anandharamakrishnan, C., Jolius, Gimbun, Stapley, Andrew G. F., Rielly, Chris D.
Format: Article
Language:English
English
Published: Taylor & Francis Group 2010
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/11834/1/11%20Anandharamakrishnan_et_al_%28Drying_Tech%2C_2010%29.pdf
http://umpir.ump.edu.my/id/eprint/11834/7/Application%20of%20Computational%20Fluid%20Dynamics%20%28CFD%29%20Simulations%20to%20Spray-Freezing%20Operations.pdf
http://umpir.ump.edu.my/id/eprint/11834/
http://dx.doi.org/10.1080/07373930903430843
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Institution: Universiti Malaysia Pahang
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spelling my.ump.umpir.118342018-01-08T03:02:28Z http://umpir.ump.edu.my/id/eprint/11834/ Application of Computational Fluid Dynamics (CFD) Simulations to Spray-Freezing Operations Anandharamakrishnan, C. Jolius, Gimbun Stapley, Andrew G. F. Rielly, Chris D. TP Chemical technology A 3D computational fluid dynamics (CFD) simulation for spray-freezing in a cold gas has been developed and used to identify design improvements. This model includes an approximate method to model the latent heat of fusion and is able to track particle trajectories. The simulation predictions agreed reasonably well with experimentally measured gas temperatures and droplet velocities. The results suggest that a hollow-cone spray is more effective in cooling the particles uniformly. The CFD simulation suggested that buildup of an icy layer on the cone walls observed experimentally was due to incomplete freezing of larger particles (>100 µm). Collection efficiencies could be raised (from 20 to 57%) by increasing the diameter of the chamber outlet. Taylor & Francis Group 2010-01-31 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11834/1/11%20Anandharamakrishnan_et_al_%28Drying_Tech%2C_2010%29.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/11834/7/Application%20of%20Computational%20Fluid%20Dynamics%20%28CFD%29%20Simulations%20to%20Spray-Freezing%20Operations.pdf Anandharamakrishnan, C. and Jolius, Gimbun and Stapley, Andrew G. F. and Rielly, Chris D. (2010) Application of Computational Fluid Dynamics (CFD) Simulations to Spray-Freezing Operations. Drying Technology, 28 (1). pp. 94-102. ISSN 0737-3937 http://dx.doi.org/10.1080/07373930903430843 DOI: 10.1080/07373930903430843
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic TP Chemical technology
spellingShingle TP Chemical technology
Anandharamakrishnan, C.
Jolius, Gimbun
Stapley, Andrew G. F.
Rielly, Chris D.
Application of Computational Fluid Dynamics (CFD) Simulations to Spray-Freezing Operations
description A 3D computational fluid dynamics (CFD) simulation for spray-freezing in a cold gas has been developed and used to identify design improvements. This model includes an approximate method to model the latent heat of fusion and is able to track particle trajectories. The simulation predictions agreed reasonably well with experimentally measured gas temperatures and droplet velocities. The results suggest that a hollow-cone spray is more effective in cooling the particles uniformly. The CFD simulation suggested that buildup of an icy layer on the cone walls observed experimentally was due to incomplete freezing of larger particles (>100 µm). Collection efficiencies could be raised (from 20 to 57%) by increasing the diameter of the chamber outlet.
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 Application of Computational Fluid Dynamics (CFD) Simulations to Spray-Freezing Operations
title_short Application of Computational Fluid Dynamics (CFD) Simulations to Spray-Freezing Operations
title_full Application of Computational Fluid Dynamics (CFD) Simulations to Spray-Freezing Operations
title_fullStr Application of Computational Fluid Dynamics (CFD) Simulations to Spray-Freezing Operations
title_full_unstemmed Application of Computational Fluid Dynamics (CFD) Simulations to Spray-Freezing Operations
title_sort application of computational fluid dynamics (cfd) simulations to spray-freezing operations
publisher Taylor & Francis Group
publishDate 2010
url http://umpir.ump.edu.my/id/eprint/11834/1/11%20Anandharamakrishnan_et_al_%28Drying_Tech%2C_2010%29.pdf
http://umpir.ump.edu.my/id/eprint/11834/7/Application%20of%20Computational%20Fluid%20Dynamics%20%28CFD%29%20Simulations%20to%20Spray-Freezing%20Operations.pdf
http://umpir.ump.edu.my/id/eprint/11834/
http://dx.doi.org/10.1080/07373930903430843
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