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Evaluation of Temperature Uniformity in a Middle-Refrigerated Truck Loaded with Pig Carcasses

In this study, we constructed a calculation model to determine the internal temperature field distribution in a medium-sized refrigeration truck with the dimensions of 4.1 m × 2.2 m × 2.2 m. Wind speed, air temperature, and carcass temperature were designated as the initial conditions. The k-ε model...

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Detalles Bibliográficos
Autores principales: Bai, Hongwu, Zhou, Guanghong, Liu, Xianjin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178001/
https://www.ncbi.nlm.nih.gov/pubmed/37174376
http://dx.doi.org/10.3390/foods12091837
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author Bai, Hongwu
Zhou, Guanghong
Liu, Xianjin
author_facet Bai, Hongwu
Zhou, Guanghong
Liu, Xianjin
author_sort Bai, Hongwu
collection PubMed
description In this study, we constructed a calculation model to determine the internal temperature field distribution in a medium-sized refrigeration truck with the dimensions of 4.1 m × 2.2 m × 2.2 m. Wind speed, air temperature, and carcass temperature were designated as the initial conditions. The k-ε model of computational fluid dynamics was used to simulate different wind speeds and ventilation duct settings on the carriage. Additionally, under specific boundary conditions, the speed of the air outlet, the types of ventilation ducts, and the carcass loads were all varied to determine the uniformity of the temperature field. The results showed that, when the air outlet speed was 5 m/s, the temperature field in the refrigerated truck was relatively more uniform. The simulated results were in good agreement with the measured results. The average absolute error was 0.35 °C, and the average relative error was 9.23%.
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spelling pubmed-101780012023-05-13 Evaluation of Temperature Uniformity in a Middle-Refrigerated Truck Loaded with Pig Carcasses Bai, Hongwu Zhou, Guanghong Liu, Xianjin Foods Article In this study, we constructed a calculation model to determine the internal temperature field distribution in a medium-sized refrigeration truck with the dimensions of 4.1 m × 2.2 m × 2.2 m. Wind speed, air temperature, and carcass temperature were designated as the initial conditions. The k-ε model of computational fluid dynamics was used to simulate different wind speeds and ventilation duct settings on the carriage. Additionally, under specific boundary conditions, the speed of the air outlet, the types of ventilation ducts, and the carcass loads were all varied to determine the uniformity of the temperature field. The results showed that, when the air outlet speed was 5 m/s, the temperature field in the refrigerated truck was relatively more uniform. The simulated results were in good agreement with the measured results. The average absolute error was 0.35 °C, and the average relative error was 9.23%. MDPI 2023-04-28 /pmc/articles/PMC10178001/ /pubmed/37174376 http://dx.doi.org/10.3390/foods12091837 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bai, Hongwu
Zhou, Guanghong
Liu, Xianjin
Evaluation of Temperature Uniformity in a Middle-Refrigerated Truck Loaded with Pig Carcasses
title Evaluation of Temperature Uniformity in a Middle-Refrigerated Truck Loaded with Pig Carcasses
title_full Evaluation of Temperature Uniformity in a Middle-Refrigerated Truck Loaded with Pig Carcasses
title_fullStr Evaluation of Temperature Uniformity in a Middle-Refrigerated Truck Loaded with Pig Carcasses
title_full_unstemmed Evaluation of Temperature Uniformity in a Middle-Refrigerated Truck Loaded with Pig Carcasses
title_short Evaluation of Temperature Uniformity in a Middle-Refrigerated Truck Loaded with Pig Carcasses
title_sort evaluation of temperature uniformity in a middle-refrigerated truck loaded with pig carcasses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178001/
https://www.ncbi.nlm.nih.gov/pubmed/37174376
http://dx.doi.org/10.3390/foods12091837
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