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低温储罐预冷过程预测 被引量:4
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作者 周霞 刘丽 +3 位作者 邱利民 朱超 马宏祥 吴斌 《低温工程》 CSCD 北大核心 2017年第5期35-41,59,共8页
为了能输送和存储单相低温液体,保证输送管道和低温储罐的安全,预冷过程不可或缺。对预冷时间、预冷介质消耗量进行预测有利于指导实际操作。从热力学基本理论出发,采用稳态与变热导率的热力学分析方法,建立储罐预冷时间与预冷介质消耗... 为了能输送和存储单相低温液体,保证输送管道和低温储罐的安全,预冷过程不可或缺。对预冷时间、预冷介质消耗量进行预测有利于指导实际操作。从热力学基本理论出发,采用稳态与变热导率的热力学分析方法,建立储罐预冷时间与预冷介质消耗量数学模型,推导了储罐温度随时间的变化关系,探讨进口流量与预冷时间、预冷介质消耗量之间的相互影响。将不同的计算方法相结合,指导选取最佳预冷流量。 展开更多
关键词 低温储罐 预冷预测 稳态 变热导率法
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Quantitative analysis on influencing factors for interface propagation-based thermal conductivity measurement method during solid-liquid transition 被引量:1
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作者 ZHOU Tian MA Xiao-yi +1 位作者 LIU Xu LI Yuan 《Journal of Central South University》 SCIE EI CAS CSCD 2019年第8期2041-2055,共15页
The recently proposed interface propagation-based method has shown its advantages in obtaining the thermal conductivity of phase change materials during solid-liquid transition over conventional techniques. However, i... The recently proposed interface propagation-based method has shown its advantages in obtaining the thermal conductivity of phase change materials during solid-liquid transition over conventional techniques. However, in previous investigation, the analysis on the measurement error was qualitative and only focused on the total effects on the measurement without decoupling the influencing factors. This paper discusses the effects of influencing factors on the measurement results for the interface propagation-based method. Numerical simulations were performed to explore the influencing factors, namely model simplification, subcooling and natural convection, along with their impact on the measurement process and corresponding measurement results. The numerical solutions were provided in terms of moving curves of the solid-liquid interface and the predicted values of thermal conductivity. Results indicated that the impact of simplified model was strongly dependent on Stefan number of the melting process. The degree of subcooling would lead to underestimated values for thermal conductivity prediction. The natural convection would intensify the heat transfer rate in the liquid region, thereby overestimating the obtained results of thermal conductivity. Correlations and experimental guidelines are provided. The relative errors are limited in ±1.5%,±3%and ±2% corresponding to the impact of simplified model, subcooling and natural convection, respectively. 展开更多
关键词 phase change material thermal conductivity measurement influencing factor interface propagation-based method numerical simulation
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