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Analysis of Temperature and Humidity Field in a New Bulk Tobacco Curing Barn Based on CFD
A new structure bulk tobacco curing barn was presented. To study the temperature and humidity field in the new structure tobacco curing barn, a 3D transient computational fluid dynamics (CFD) model was developed using porous medium, species transport, κ-ε turbulence and discrete phase models. The CF...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336120/ https://www.ncbi.nlm.nih.gov/pubmed/28146128 http://dx.doi.org/10.3390/s17020279 |
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author | Bai, Zhipeng Guo, Duoduo Li, Shoucang Hu, Yaohua |
author_facet | Bai, Zhipeng Guo, Duoduo Li, Shoucang Hu, Yaohua |
author_sort | Bai, Zhipeng |
collection | PubMed |
description | A new structure bulk tobacco curing barn was presented. To study the temperature and humidity field in the new structure tobacco curing barn, a 3D transient computational fluid dynamics (CFD) model was developed using porous medium, species transport, κ-ε turbulence and discrete phase models. The CFD results demonstrated that (1) the temperature and relative humidity predictions were validated by the experimental results, and comparison of simulation results with experimental data showed a fairly close agreement; (2) the temperature of the bottom and inlet area was higher than the top and outlet area, and water vapor concentrated on the top and outlet area in the barn; (3) tobacco loading density and thickness of tobacco leaves had an explicit effect on the temperature distributions in the barn. |
format | Online Article Text |
id | pubmed-5336120 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-53361202017-03-16 Analysis of Temperature and Humidity Field in a New Bulk Tobacco Curing Barn Based on CFD Bai, Zhipeng Guo, Duoduo Li, Shoucang Hu, Yaohua Sensors (Basel) Article A new structure bulk tobacco curing barn was presented. To study the temperature and humidity field in the new structure tobacco curing barn, a 3D transient computational fluid dynamics (CFD) model was developed using porous medium, species transport, κ-ε turbulence and discrete phase models. The CFD results demonstrated that (1) the temperature and relative humidity predictions were validated by the experimental results, and comparison of simulation results with experimental data showed a fairly close agreement; (2) the temperature of the bottom and inlet area was higher than the top and outlet area, and water vapor concentrated on the top and outlet area in the barn; (3) tobacco loading density and thickness of tobacco leaves had an explicit effect on the temperature distributions in the barn. MDPI 2017-01-31 /pmc/articles/PMC5336120/ /pubmed/28146128 http://dx.doi.org/10.3390/s17020279 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bai, Zhipeng Guo, Duoduo Li, Shoucang Hu, Yaohua Analysis of Temperature and Humidity Field in a New Bulk Tobacco Curing Barn Based on CFD |
title | Analysis of Temperature and Humidity Field in a New Bulk Tobacco Curing Barn Based on CFD |
title_full | Analysis of Temperature and Humidity Field in a New Bulk Tobacco Curing Barn Based on CFD |
title_fullStr | Analysis of Temperature and Humidity Field in a New Bulk Tobacco Curing Barn Based on CFD |
title_full_unstemmed | Analysis of Temperature and Humidity Field in a New Bulk Tobacco Curing Barn Based on CFD |
title_short | Analysis of Temperature and Humidity Field in a New Bulk Tobacco Curing Barn Based on CFD |
title_sort | analysis of temperature and humidity field in a new bulk tobacco curing barn based on cfd |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336120/ https://www.ncbi.nlm.nih.gov/pubmed/28146128 http://dx.doi.org/10.3390/s17020279 |
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