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dc.contributor.authorTanthadiloke, S.*
dc.contributor.authorChankerd, W.*
dc.contributor.authorSuwatthikul, A.*
dc.contributor.authorLipikanjanakul, P.*
dc.contributor.authorMujtaba, Iqbal M.*
dc.contributor.authorKittisupakorn, P.*
dc.date.accessioned2016-09-06T14:41:56Z
dc.date.available2016-09-06T14:41:56Z
dc.date.issued2016-10-25
dc.identifier.citationTanthadiloke 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.en_US
dc.identifier.urihttp://hdl.handle.net/10454/8917
dc.descriptionYesen_US
dc.description.abstractIn 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%.en_US
dc.description.sponsorshipThe authors would like to thank The Thailand Research Fund (TRF) under The Royal Golden Jubilee Ph.D. Program (PHD/0158/2550), The Institutional Research Grant (The Thailand Research Fund) (IRG 5780014) and Chulalongkorn University (Contract No. RES_57_411_21_076) for financial support to this work.en_US
dc.language.isoenen_US
dc.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/en_US
dc.subjectCFD; Velocity pattern; Temperature distribution; Concentration distribution; Heat loss; Can making processen_US
dc.title3D computational fluid dynamics study of a drying process in a can making industryen_US
dc.status.refereedYesen_US
dc.date.Accepted2016-08-04
dc.date.application2016-08-05
dc.typeArticleen_US
dc.type.versionfinal draft paperen_US
dc.identifier.doihttps://doi.org/10.1016/j.applthermaleng.2016.08.037
refterms.dateFOA2018-07-25T14:06:41Z


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