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超临界压力区域失压瞬态传热特性数值研究
引用本文:李永亮,曾小康,文彦,臧金光,闫晓,肖泽军,黄彦平.超临界压力区域失压瞬态传热特性数值研究[J].核动力工程,2019,40(4):32-38.
作者姓名:李永亮  曾小康  文彦  臧金光  闫晓  肖泽军  黄彦平
作者单位:中国核动力研究设计院中核核反应堆热工水力技术重点实验室,成都,610213;中国核动力研究设计院中核核反应堆热工水力技术重点实验室,成都,610213;中国核动力研究设计院中核核反应堆热工水力技术重点实验室,成都,610213;中国核动力研究设计院中核核反应堆热工水力技术重点实验室,成都,610213;中国核动力研究设计院中核核反应堆热工水力技术重点实验室,成都,610213;中国核动力研究设计院中核核反应堆热工水力技术重点实验室,成都,610213;中国核动力研究设计院中核核反应堆热工水力技术重点实验室,成都,610213
摘    要:采用Ansys Fluent 15.0开展水工质在超临界压力区域失压瞬态传热特性的数值研究。通过对比分析计算结果与实验数据,建立了合理的并适用于超临界压力区域失压瞬态工况的数值模拟方法。数值计算结果表明,在模拟的近临界点瞬态工况参数下,实验段出口流体参数已超过该工况的拟临界点参数,但该参数仍处于物性参数急剧变化的拟临界点附近区域,实验段流体从入口区域的不可压缩流动转变为出口区域的可压缩流动,且拟临界点处的质量流速和压降梯度出现峰值。瞬态工况计算结果与Jackson公式计算结果对比分析表明,在临界点附近区域Jackson公式计算的努塞尔数比本文计算的努塞尔数高出20%~50%。 

关 键 词:数值研究  传热特性  失压瞬态  超临界压力

Computational Fluid Dynamic Simulation on Heat Transfer Characteristics of Water Flowing in Heated Tube during Depressurization Transient under Supercritical Pressure
Abstract:The computational fluid dynamic simulation on the heat transfer characteristics during depressurization transient under supercritical pressure was performed in this paper by adopting Ansys Fluent 15.0 software based on available experimental data. The reliability of the calculation was verified by comparing the computational results with the experimental data, and the simulation method established in this paper was practical and applicable for transient heat transfer during depressurization under supercritical pressure. The calculation results indicated that the parameters at the outlet of the test section exceeded the pseudo-critical point but still stayed in the area where the thermal physical properties varied dramatically in simulated transient condition with thermal parameters nearby the critical point. The incompressible flow at the inlet of the test section was turned to compressible flow at outlet region. Furthermore, there was a phenomenon of peak around pseudo-critical point for both mass flow flux and pressure gradient. In addition, the classical steady-state supercritical heat transfer correlation–Jackson empirical correlation overestimated the Nusselt number obtained in the computation by about 20%~50% near the critical point region. 
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