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液氮冻结食品冻结时间的计算方法及实验验证
引用本文:周小清,柳建华,徐小进,梁亚英.液氮冻结食品冻结时间的计算方法及实验验证[J].制冷学报,2016(6):113-118.
作者姓名:周小清  柳建华  徐小进  梁亚英
作者单位:上海理工大学能源与动力工程学院,上海理工大学能源与动力工程学院;上海市动力工程多相流动与传热重点实验室,中国船舶重工集团公司第七〇四研究所,上海理工大学能源与动力工程学院
基金项目:国家自然科学基金(51176129)资助项目。
摘    要:冻结时间是评价冻结食品质量的重要指标,正确计算冻结时间是食品冻结装置优化设计及运行的关键。本文通过建立液氮速冻实验平台,测试了食品的冻结时间,介绍了现有的理论模型,选择了几种典型的计算方法应用于食品冻结,并将各模型的理论结果与实验值进行比较,分析各偏差原因,获得计算食品冻结时间最准确的方法。以有限长圆柱状食品为例,通过研究发现在整个氮气温度场中国际制冷学会模型计算结果与实验值最相近,平均偏差为8.86%,分段计算法次之,平均偏差小于15%。

关 键 词:冻结食品  冻结时间  计算模型  实验研究

Calculating Method and Experimental Verification of Freezing Time of Frozen Food by Liquid Nitrogen
Zhou Xiaoqing,Liu Jianhu,Xu Xiaojin and Liang Yaying.Calculating Method and Experimental Verification of Freezing Time of Frozen Food by Liquid Nitrogen[J].Journal of Refrigeration,2016(6):113-118.
Authors:Zhou Xiaoqing  Liu Jianhu  Xu Xiaojin and Liang Yaying
Affiliation:School of Energy and Power Engineering, University of Shanghai for Science and Technology,School of Energy and Power Engineering, University of Shanghai for Science and Technology;Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering,No.704 Research Institute, CSIC and School of Energy and Power Engineering, University of Shanghai for Science and Technology
Abstract:Freezing time is an important index to evaluate the quality of frozen food, and the correct calculation of freezing time is the key to the optimal design and operation of food freezing equipment. In this paper, the freezing time is tested by the established frozen experiment platform with liquid nitrogen. After introducing existing models, several typical calculation methods are chosen to calculate the food freezing time. By comparing the theoretical results with the experimental results, the most accurate method to calculate the food freezing time is obtained. Taking the finite cyclical foodstuff as an example, the result shows that the International Institute of Refrigeration Model has the smallest difference with the experimental results, and the average deviation is 8.86%, while the Staging Model takes second place with an average deviation less than 15%.
Keywords:
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