Analysis of the Temperature Distribution in a Refrigerated Truck Body Depending on the Box Loading Patterns

The main purpose of cold chain is to keep the temperature of products constant during transportation. The internal temperature of refrigerated truck body is mainly measured with a temperature sensor installed at the hottest point on the body. Hence, the measured temperature cannot represent the over...

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Autores principales:	Jun-Hwi So, Sung-Yong Joe, Seon-Ho Hwang, Soojin Jun, Seung-Hyun Lee
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	refrigerated truck CFD modelling temperature prediction airflow loading pattern Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/b393c120c50243b88dea6d8dcbcb9c3f
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spelling	oai:doaj.org-article:b393c120c50243b88dea6d8dcbcb9c3f2021-11-25T17:32:38ZAnalysis of the Temperature Distribution in a Refrigerated Truck Body Depending on the Box Loading Patterns10.3390/foods101125602304-8158https://doaj.org/article/b393c120c50243b88dea6d8dcbcb9c3f2021-10-01T00:00:00Zhttps://www.mdpi.com/2304-8158/10/11/2560https://doaj.org/toc/2304-8158The main purpose of cold chain is to keep the temperature of products constant during transportation. The internal temperature of refrigerated truck body is mainly measured with a temperature sensor installed at the hottest point on the body. Hence, the measured temperature cannot represent the overall temperature values of transported products in the body. Moreover, the airflow pattern in the refrigerated body can vary depending on the arrangement of loaded logistics, resulting temperature differences between the transported products. In this study, the airflow and temperature change in the refrigerated body depending on the loading patterns of box were analyzed using experimental and numerical analysis methods. Ten different box loading patterns were applied to the body of 0.5 ton refrigerated truck. The temperatures inside boxes were measured depending on the loading patterns. CFD modeling with two different turbulence models (<i>k</i>-<i>ε</i> and SST <i>k</i>-<i>ω</i>) was developed using COMSOL Multiphysics for predicting the temperatures inside boxes loaded with different patterns, and the predicted data were compared to the experimental data. The <i>k</i>-<i>ε</i> turbulence model showed a higher temperature error than the SST <i>k</i>-<i>ω</i> model; however, the highest temperature point inside the boxes was almost accurately predicted. The developed model derived an approximate temperature distribution in the boxes loaded in the refrigerated body.Jun-Hwi SoSung-Yong JoeSeon-Ho HwangSoojin JunSeung-Hyun LeeMDPI AGarticlerefrigerated truckCFD modellingtemperature predictionairflowloading patternChemical technologyTP1-1185ENFoods, Vol 10, Iss 2560, p 2560 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	refrigerated truck CFD modelling temperature prediction airflow loading pattern Chemical technology TP1-1185
spellingShingle	refrigerated truck CFD modelling temperature prediction airflow loading pattern Chemical technology TP1-1185 Jun-Hwi So Sung-Yong Joe Seon-Ho Hwang Soojin Jun Seung-Hyun Lee Analysis of the Temperature Distribution in a Refrigerated Truck Body Depending on the Box Loading Patterns
description	The main purpose of cold chain is to keep the temperature of products constant during transportation. The internal temperature of refrigerated truck body is mainly measured with a temperature sensor installed at the hottest point on the body. Hence, the measured temperature cannot represent the overall temperature values of transported products in the body. Moreover, the airflow pattern in the refrigerated body can vary depending on the arrangement of loaded logistics, resulting temperature differences between the transported products. In this study, the airflow and temperature change in the refrigerated body depending on the loading patterns of box were analyzed using experimental and numerical analysis methods. Ten different box loading patterns were applied to the body of 0.5 ton refrigerated truck. The temperatures inside boxes were measured depending on the loading patterns. CFD modeling with two different turbulence models (<i>k</i>-<i>ε</i> and SST <i>k</i>-<i>ω</i>) was developed using COMSOL Multiphysics for predicting the temperatures inside boxes loaded with different patterns, and the predicted data were compared to the experimental data. The <i>k</i>-<i>ε</i> turbulence model showed a higher temperature error than the SST <i>k</i>-<i>ω</i> model; however, the highest temperature point inside the boxes was almost accurately predicted. The developed model derived an approximate temperature distribution in the boxes loaded in the refrigerated body.
format	article
author	Jun-Hwi So Sung-Yong Joe Seon-Ho Hwang Soojin Jun Seung-Hyun Lee
author_facet	Jun-Hwi So Sung-Yong Joe Seon-Ho Hwang Soojin Jun Seung-Hyun Lee
author_sort	Jun-Hwi So
title	Analysis of the Temperature Distribution in a Refrigerated Truck Body Depending on the Box Loading Patterns
title_short	Analysis of the Temperature Distribution in a Refrigerated Truck Body Depending on the Box Loading Patterns
title_full	Analysis of the Temperature Distribution in a Refrigerated Truck Body Depending on the Box Loading Patterns
title_fullStr	Analysis of the Temperature Distribution in a Refrigerated Truck Body Depending on the Box Loading Patterns
title_full_unstemmed	Analysis of the Temperature Distribution in a Refrigerated Truck Body Depending on the Box Loading Patterns
title_sort	analysis of the temperature distribution in a refrigerated truck body depending on the box loading patterns
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b393c120c50243b88dea6d8dcbcb9c3f
work_keys_str_mv	AT junhwiso analysisofthetemperaturedistributioninarefrigeratedtruckbodydependingontheboxloadingpatterns AT sungyongjoe analysisofthetemperaturedistributioninarefrigeratedtruckbodydependingontheboxloadingpatterns AT seonhohwang analysisofthetemperaturedistributioninarefrigeratedtruckbodydependingontheboxloadingpatterns AT soojinjun analysisofthetemperaturedistributioninarefrigeratedtruckbodydependingontheboxloadingpatterns AT seunghyunlee analysisofthetemperaturedistributioninarefrigeratedtruckbodydependingontheboxloadingpatterns
_version_	1718412246982328320

Analysis of the Temperature Distribution in a Refrigerated Truck Body Depending on the Box Loading Patterns

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