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3D computational fluid dynamics study of a drying process in a can making industry

Tanthadiloke, S.
; 
Chankerd, W.
; 
Suwatthikul, A.
; 
Lipikanjanakul, P.
; ; 
Kittisupakorn, P.
Publication Date
2016-10-25
End of Embargo
Supervisor
Keywords
CFD; Velocity pattern; Temperature distribution; Concentration distribution; Heat loss; Can making process
Rights
© 2016 Elsevier B.V. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Peer-Reviewed
Yes
Open Access status
Accepted for publication
2016-08-04
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Engineering and Digital Technology Publications
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Abstract
In the drying process of a can making industry, the drying efficiency of a thermal drying oven can be improved by adjusting the volumetric air flow rate of the blower. To maximize drying efficiency, an optimal flow rate is needed. Consequently, a three-dimensional computational fluid dynamics (CFD) is used to provide simulation according to the response of air velocity, air temperature and evaporated solvent concentration with respect to changes in volumetric air flow rate in the drying oven. An experimental study has been carried out to determine the evaporation rate of the solvent. To validate the models, the process data obtained from the CFD is compared with that obtained from actual data. In the accurate models, the simulation results demonstrate that the decrease in volumetric air flow rate provides no major discrepancy of the air velocity patterns in all dimensions and decreases the maximum temperature in the oven. Consequently, this decrease in volumetric air flow rate rapidly increases the evaporated solvent concentration in the beginning and then gradually decreases over the length of the oven. In addition, further reduction of the flow rate gives lower heat loss of the oven up to 83.67%.
URI
http://hdl.handle.net/10454/8917
Version
final draft paper
Citation
Tanthadiloke S, Chankerd W, Suwatthikul A et al. (2016) 3D computational fluid dynamics study of a drying process in a can making industry. Applied Thermal Engineering. 109(Part A): 87-98.
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Link to Version of Record
https://doi.org/10.1016/j.applthermaleng.2016.08.037
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Article
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