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Article

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

1
Department of Smart Agriculture Systems, Chungnam National University, Daejeon 34134, Korea
2
Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea
3
Department of Human Nutrition, Food and Animal Sciences, University of Hawaii at Manoa, Honolulu, HI 96822, USA
*
Authors to whom correspondence should be addressed.
Academic Editor: Maria Cecilia do Nascimento Nunes
Foods 2021, 10(11), 2560; https://doi.org/10.3390/foods10112560
Received: 30 August 2021 / Revised: 10 October 2021 / Accepted: 22 October 2021 / Published: 23 October 2021
(This article belongs to the Special Issue Innovative Cold Storage Technologies in Food Supply Chain)
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 (k-ε and SST k-ω) 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 k-ε turbulence model showed a higher temperature error than the SST k-ω 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. View Full-Text
Keywords: refrigerated truck; CFD modelling; temperature prediction; airflow; loading pattern refrigerated truck; CFD modelling; temperature prediction; airflow; loading pattern
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MDPI and ACS Style

So, J.-H.; Joe, S.-Y.; Hwang, S.-H.; Jun, S.; Lee, S.-H. Analysis of the Temperature Distribution in a Refrigerated Truck Body Depending on the Box Loading Patterns. Foods 2021, 10, 2560. https://doi.org/10.3390/foods10112560

AMA Style

So J-H, Joe S-Y, Hwang S-H, Jun S, Lee S-H. Analysis of the Temperature Distribution in a Refrigerated Truck Body Depending on the Box Loading Patterns. Foods. 2021; 10(11):2560. https://doi.org/10.3390/foods10112560

Chicago/Turabian Style

So, Jun-Hwi, Sung-Yong Joe, Seon-Ho Hwang, Soojin Jun, and Seung-Hyun Lee. 2021. "Analysis of the Temperature Distribution in a Refrigerated Truck Body Depending on the Box Loading Patterns" Foods 10, no. 11: 2560. https://doi.org/10.3390/foods10112560

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