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送风参数对岩心冷柜内温度场影响的CFD研究
刘泽勤,于永杰,李杰
0
(天津商业大学 天津市制冷技术重点实验室)
摘要:
为优化岩心冷柜内部温度场分布的均匀性,控制温度波动范围,根据相似性原理,本文搭建冷柜模型实验台,建立三维RNG k-ε湍流模型,探究送风参数(送风温度-3?2 ℃、送风速度3.5?4.7m/s)对冷柜内温度场分布的影响规律,为岩心冷柜工程提供理论支持。结果表明:岩心冷柜零负载工况下,各监测点温度模拟值与实验值吻合度较高,最大偏差不超过0.6 ℃。当冷柜6层满载,送风速度恒定4.2 m/s时,冷柜内温度分布与送风温度呈正相关,当送风温度为0 ℃时为最佳送风温度,冷柜内温度场分布均匀合理,各层岩心均满足储藏要求。当冷柜6层满载,送风温度恒定为0 ℃时,增大送风速度能强化对流换热,有效解决局部过热问题,送风速度由4.2 m/s增至4.7 m/s,冷柜内局部温度已低于岩心最佳储藏温度,综合能耗及气流组织均匀性考虑,4.2 m/s为最佳送风速度。
关键词:  岩心  冷柜  送风参数  数值模拟  温度场
DOI:
投稿时间:2021-07-05修订日期:2021-11-06
基金项目:
Numerical Simulation on the Influence of Air Supply Parameters on Temperature Field in the Core Freezer
Liu Zeqin,Yu Yongjie,Li Jie
(Tianjin Key Laboratory of Refrigeration Technology, Tianjin University of Commerce)
Abstract:
To optimize the uniformity of the temperature field distribution inside the core freezer and control the temperature fluctuation range, a test rig of core model and a three-dimensional RNG k-ε turbulence model were built based on the similarity principle to investigate the influence of air supply parameters (air supply temperature is from -3?2 ℃, and air supply velocity is from 3.5?4.7 m/s) on the temperature field distribution inside the freezer and provide theoretical support for the core freezer project. The results showed that under the zero-load condition of the core freezer, the simulated temperature at each monitoring point agreed well with the experimental ones, and the maximum deviation did not exceed 0.6 ℃. The model could accurately reflect the distribution law of the temperature field inside the freezer. When the freezer was fully loaded with six layers, and the air supply velocity was constant at 4.2 m/s, the temperature distribution inside the freezer was positively correlated with the air supply temperature; when the air supply temperature was 0 ℃, which was the best air supply temperature, the temperature field distribution inside the freezer was uniform and reasonable, and the cores of each layer met the storage requirements. When the freezer was fully loaded with 6 layers, and the air supply temperature was constant at 0 ℃, increasing the air supply speed could strengthen convective heat exchange and effectively solve the problem of local overheating. When the air supply speed was increased from 4.2 m/s to 4.7 m/s, the local temperature in the freezer was lower than the optimal storage temperature range of the cores, and 4.2 m/s was the optimal air supply speed considering the comprehensive energy consumption and uniformity of airflow organization.
Key words:  core  freezer  air supply parameters  numerical simulation  temperature field

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