聚变堆固态包层框架下,针对初步设计的聚变堆氦冷固态包层进行了中子学分析。选择增殖区的氚增殖剂和中子倍增剂分层分布方案,建立了20°对称D型轮胎环全堆计算模型,对聚变中子源分布离散化处理。借助M on te-C arlo粒子输运程序M ...聚变堆固态包层框架下,针对初步设计的聚变堆氦冷固态包层进行了中子学分析。选择增殖区的氚增殖剂和中子倍增剂分层分布方案,建立了20°对称D型轮胎环全堆计算模型,对聚变中子源分布离散化处理。借助M on te-C arlo粒子输运程序M CNP对聚变堆包层的氚增殖性能和核热功率进行了计算。结果表明,堆总体氚增殖率达到1.247,核热密度峰值在赤道包层模块,能够实现聚变堆运行的氚自持条件。展开更多
A set of experimental data obtained at the Institute of Physics and Power Engineering in a vertical bundle cooled with supercritical R-12 was analyzed. The test section was a 7-element bundle installed in a hexagonal ...A set of experimental data obtained at the Institute of Physics and Power Engineering in a vertical bundle cooled with supercritical R-12 was analyzed. The test section was a 7-element bundle installed in a hexagonal flow channel with three grid spacers. Data was collected at pressures of approximately 4.65 MPa for several different combinations of wall and bulk-fluid temperatures that were below, at, or above pseudocritical conditions. Analysis of the data has confirmed that there are three distinct heat-transfer regimes for forced convention in supercritical fluids： （1） normal heat transfer, （2） deteriorated heat transfer, and （3） enhanced heat transfer. It was also confirmed that the effects of spacers are evident which was previously observed in sub-critical experimental data. This work compares the wall and bulk fluid temperature data of the experiments to predictions based upon current 1-D correlations for heat transfer in supercritical fluids.展开更多
文摘聚变堆固态包层框架下,针对初步设计的聚变堆氦冷固态包层进行了中子学分析。选择增殖区的氚增殖剂和中子倍增剂分层分布方案,建立了20°对称D型轮胎环全堆计算模型,对聚变中子源分布离散化处理。借助M on te-C arlo粒子输运程序M CNP对聚变堆包层的氚增殖性能和核热功率进行了计算。结果表明,堆总体氚增殖率达到1.247,核热密度峰值在赤道包层模块,能够实现聚变堆运行的氚自持条件。
文摘A set of experimental data obtained at the Institute of Physics and Power Engineering in a vertical bundle cooled with supercritical R-12 was analyzed. The test section was a 7-element bundle installed in a hexagonal flow channel with three grid spacers. Data was collected at pressures of approximately 4.65 MPa for several different combinations of wall and bulk-fluid temperatures that were below, at, or above pseudocritical conditions. Analysis of the data has confirmed that there are three distinct heat-transfer regimes for forced convention in supercritical fluids： （1） normal heat transfer, （2） deteriorated heat transfer, and （3） enhanced heat transfer. It was also confirmed that the effects of spacers are evident which was previously observed in sub-critical experimental data. This work compares the wall and bulk fluid temperature data of the experiments to predictions based upon current 1-D correlations for heat transfer in supercritical fluids.
