1.西安交通大学能源与动力工程学院, 710049,西安
2.海信冰箱有限公司, 266000,山东青岛
3.江西卓超科技有限公司, 338000,江西新余
杨功志(1998—),男,硕士生;
蒲亮(通信作者),男,教授,博士生导师。
收稿:2024-06-04,
网络首发:2024-08-19,
纸质出版:2025-02-10
移动端阅览
杨功志, 张胜棋, 韩丽丽, 等. 风冷冰箱的湿度场动态仿真通用模型及湿度均匀性改善[J]. 西安交通大学学报, 2025,59(2):134-145.
YANG Gongzhi, ZHANG Shengqi, HAN Lili, et al. General Model for Dynamic Simulation of Humidity Distribution in Frost-Free Refrigerator and Humidity Uniformity Improvement[J]. Journal of Xi’an Jiaotong University, 2025, 59(2): 134-145.
杨功志, 张胜棋, 韩丽丽, 等. 风冷冰箱的湿度场动态仿真通用模型及湿度均匀性改善[J]. 西安交通大学学报, 2025,59(2):134-145. DOI: 10.7652/xjtuxb202502014.
YANG Gongzhi, ZHANG Shengqi, HAN Lili, et al. General Model for Dynamic Simulation of Humidity Distribution in Frost-Free Refrigerator and Humidity Uniformity Improvement[J]. Journal of Xi’an Jiaotong University, 2025, 59(2): 134-145. DOI: 10.7652/xjtuxb202502014.
针对具有主动加湿功能的风冷冰箱湿度分布难以精准动态预测这一问题,提出了将商业仿真软件和自编程相结合的风冷冰箱湿度场动态仿真通用模型,实现了风冷冰箱湿度场的精准预测。首先,以某型风冷冰箱冷藏室为研究对象建立物理模型;其次,基于分布参数法和多孔介质模型,建立蒸发器数学模型,计算湿空气流经蒸发器时的压降、换热量和结霜量,并根据风冷冰箱的实际运行状态,建立加湿器以及风机等部件的仿真模型;最后,根据冷藏室控制策略,编写控制程序将冷藏室各子部件模型与冷藏室物理模型进行耦合模拟,实现湿度场的动态仿真,并采用实验数据对模型进行验证。研究结果表明:所提通用模型可精准预测风冷冰箱冷藏室温度和湿度的动态变化;与实验数据相比,一个启停周期内,计算得到的温度平均偏差小于0.7 ℃,相对湿度平均偏差小于5.1%;将加湿器挪至箱门中部的新方案,使得冷藏室的湿度变异系数从0.55减小到0.41,湿度均匀性得到明显改善。研究结果对风冷冰箱设计前期温度场和湿度场的预测及设计效率的提高具有重要意义。
To address the critical challenge of accurately and dynamically forecasting the humidity distribution in frost-free refrigerators equipped with active humidification capabilities
a general model integrating commercial simulation software and self-programming was proposed in this paper for dynamic simulation of humidity distribution in frost-free refrigerator and humidity uniformity improvement. Initially
a physical model was constructed
focusing on a specific frost-free refrigerating chamber as the subject of investigation. Subsequently
a mathematical model of the evaporator was developed based on the distribution parameter method and the porous media model to calculate pressure drop
heat exchange
and frost accumulation as wet air flows through the evaporator. Additionally
simulation models for the humidifier
fan
and other components were established
reflecting the actual operational conditions of the frost-free refrigerator. Finally
a control program was crafted based on the control strategy of refrigerating chamber to couple the mathematical models of various components with the physical model of the refrigerating chamber. This enabled dynamic simulation of the humidity distribution
and the experimental data was used to verify models. The results show that the general model proposed could precisely forecast the dynamic changes in temperature and humidity in the refrigerating chamber of a frost-free refrigerator. Compared with experimental data
the average temperature deviation was below 0.7 ℃
while the average relative humidity deviation was less than 5.1% during a start-stop cycle. Moreover
by using the new design of relocating the humidifier to the middle of the door
the humidity uniformity in the refrigerating chamber was significantly improved with a reduction of the coefficient of variation for humidity from 0.55 to 0.41. The study results are of significance for the forecast of temperature and humidity distribution in the pre-design stage of frost-free refrigerators and the improvement of design efficiency.
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