So Jun-Hwi, Joe Sung-Yong, Hwang Seon-Ho, Jun Soojin, Lee Seung-Hyun
Department of Smart Agriculture Systems, Chungnam National University, Daejeon 34134, Korea.
Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea.
Foods. 2021 Oct 23;10(11):2560. doi: 10.3390/foods10112560.
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 (- and SST -) 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 - turbulence model showed a higher temperature error than the SST - 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.
冷链的主要目的是在运输过程中保持产品温度恒定。冷藏车厢体的内部温度主要通过安装在车厢最热部位的温度传感器进行测量。因此，所测温度不能代表车厢内所运输产品的整体温度值。此外，冷藏车厢内的气流模式会因装载货物的布局而有所不同，从而导致所运输产品之间存在温度差异。在本研究中，采用实验和数值分析方法分析了冷藏车厢内气流和温度随货箱装载模式的变化情况。对一辆0.5吨冷藏车的车厢应用了十种不同的货箱装载模式。根据装载模式测量货箱内部的温度。利用COMSOL Multiphysics开发了具有两种不同湍流模型（- 和SST -）的计算流体动力学（CFD）模型，用于预测不同装载模式下货箱内的温度，并将预测数据与实验数据进行比较。- 湍流模型的温度误差比SST - 模型更高；然而，货箱内的最高温度点几乎被准确预测。所开发的模型得出了冷藏车厢内装载货箱的近似温度分布。
