Network simulation method（NSM） is used to solve the laminar heat and mass transfer of an electricallyconducting,heat generating/absorbing fluid past a perforated horizontal surface in the presence of viscous and Jou...Network simulation method（NSM） is used to solve the laminar heat and mass transfer of an electricallyconducting,heat generating/absorbing fluid past a perforated horizontal surface in the presence of viscous and Joule heating problem. The governing partial differential equations are non-dimensionalized and transformed into a system of nonlinear ordinary differential similarity equations,in a single independent variable,畏. The resulting coupled,nonlinear equations are solved under appropriate transformed boundary conditions. Computations are performed for a wide range of the governing flow parameters,viz Prandtl number,thermophoretic coeffcient（a function of Knudsen number）,thermal conductivity parameter,wall transpiration parameter and Schmidt number. The numerical details are discussed with relevant applications. The present problem finds applications in optical fiber fabrication,aerosol filter precipitators,particle deposition on hydronautical blades,semiconductor wafer design,thermo-electronics and problems including nuclear reactor safety.展开更多
Heat transfer of a capillary evaporator in a loop heat pipe was analyzed through 3D numerical simulations to study the effects of the thermal conductivity of the wick, the contact area between the casing and the wick,...Heat transfer of a capillary evaporator in a loop heat pipe was analyzed through 3D numerical simulations to study the effects of the thermal conductivity of the wick, the contact area between the casing and the wick, and the subcooling in the compensation chamber (CC) on the thermal performance of the evaporator. A pore network model with a distribution of pore radii was used to simulate liquid flow in the porous structure of the wick. To obtain high accuracy, fine meshes were used at the boundaries among the casing, the wick, and the grooves. Distributions of temperature, pressure, and mass flow rate were compared for polytetra-fluoroethylene (PTFE) and stainless steel wicks. The thermal conductivity of the wick and the contact area between the casing and the wick significantly impacted thermal performance of the evaporator heat-transfer coefficient and the heat leak to the CC. The 3D analysis provided highly accurate values for the heat leak;in some cases, the heat leaks of PTFE and stainless steel wicks showed little differences. In general, the heat flux is concentrated at the boundaries between the casing, the wick, and the grooves;therefore, thermal performance can be optimized by increasing the length of the boundary.展开更多
核反应堆中极高参数条件下换热系数(Coefficient of Heat Transfer,HTC)的准确预测对反应堆的设计及运行至关重要,但因涉及不同流型的多重因素影响的复杂情形,物理机理仍不完全明晰。由于缺乏满足实际反应堆高温高压下的参数实验数据,...核反应堆中极高参数条件下换热系数(Coefficient of Heat Transfer,HTC)的准确预测对反应堆的设计及运行至关重要,但因涉及不同流型的多重因素影响的复杂情形,物理机理仍不完全明晰。由于缺乏满足实际反应堆高温高压下的参数实验数据,而严重依赖实验数据的半经验关系式很难满足核反应堆高精度数值计算的要求。深度学习算法能够有效预测和解决复杂的非线性问题,但存在外推性能差以及过拟合等不足。本研究采用先验物理信息Jens-Lottes关系式、Thom关系式与机器学习算法中多层感知机(Multi-layer Perceptron,MLP)、反向传播神经网络(Backpropagation Neural Network,BPNN)和随机森林(Random Forest,RF)相结合的方式开发HTC预测模型,基于圆管通道HTC实验数据训练神经网络并进行验证,对6种不同的物理信息机器学习(Physical Information Machine Learning,PIML)算法模型的适用性以及预测精度进行评估。结果表明:(1)基于Jens-Lottes关系式与RF相结合的模型为最佳预测模型,对实验数据的预测平均相对误差为3.17%,且模型可扩展范围占总适用范围的63.6%,具有良好的外推适用性(;2)使用基于物理信息机器学习算法能够有效提高关系式的计算准确度,基于Jens-Lottes关系式与RF相结合的模型相比于经验关系式评价相对误差降低了24.5%。本研究结果为说明采用物理信息机器学习算法对核反应堆热工参数经验关系式的计算可提高精度并扩大适用范围提供了参考依据。展开更多
文摘Network simulation method（NSM） is used to solve the laminar heat and mass transfer of an electricallyconducting,heat generating/absorbing fluid past a perforated horizontal surface in the presence of viscous and Joule heating problem. The governing partial differential equations are non-dimensionalized and transformed into a system of nonlinear ordinary differential similarity equations,in a single independent variable,畏. The resulting coupled,nonlinear equations are solved under appropriate transformed boundary conditions. Computations are performed for a wide range of the governing flow parameters,viz Prandtl number,thermophoretic coeffcient（a function of Knudsen number）,thermal conductivity parameter,wall transpiration parameter and Schmidt number. The numerical details are discussed with relevant applications. The present problem finds applications in optical fiber fabrication,aerosol filter precipitators,particle deposition on hydronautical blades,semiconductor wafer design,thermo-electronics and problems including nuclear reactor safety.
文摘Heat transfer of a capillary evaporator in a loop heat pipe was analyzed through 3D numerical simulations to study the effects of the thermal conductivity of the wick, the contact area between the casing and the wick, and the subcooling in the compensation chamber (CC) on the thermal performance of the evaporator. A pore network model with a distribution of pore radii was used to simulate liquid flow in the porous structure of the wick. To obtain high accuracy, fine meshes were used at the boundaries among the casing, the wick, and the grooves. Distributions of temperature, pressure, and mass flow rate were compared for polytetra-fluoroethylene (PTFE) and stainless steel wicks. The thermal conductivity of the wick and the contact area between the casing and the wick significantly impacted thermal performance of the evaporator heat-transfer coefficient and the heat leak to the CC. The 3D analysis provided highly accurate values for the heat leak;in some cases, the heat leaks of PTFE and stainless steel wicks showed little differences. In general, the heat flux is concentrated at the boundaries between the casing, the wick, and the grooves;therefore, thermal performance can be optimized by increasing the length of the boundary.
