The present study is to develop a new user-defined function using artificial neural networks intent Computational Fluid Dynamics(CFD)simulation for the prediction of water-vapor multiphase flows through fuel assemblie...The present study is to develop a new user-defined function using artificial neural networks intent Computational Fluid Dynamics(CFD)simulation for the prediction of water-vapor multiphase flows through fuel assemblies of nuclear reactor.Indeed,the provision of accurate material data especially for water and steam over a wider range of temperatures and pressures is an essential requirement for conducting CFD simulations in nuclear engineering thermal hydraulics.Contrary to the commercial CFD solver ANSYS-CFX,where the industrial standard IAPWS-IF97(International Association for the Properties of Water and Steam-Industrial Formulation 1997)is implemented in the ANSYS-CFX internal material database,the solver ANSYS-FLUENT provides only the possibility to use equation of state(EOS),like ideal gas law,Redlich-Kwong EOS and piecewise polynomial interpolations.For that purpose,new approach is used to implement the thermophysical properties of water and steam for subcooled water in CFD solver ANSYS-FLUENT.The technique is based on artificial neural networks of multi-layer type to accurately predict 10 thermodynamic and transport properties of the density,specific heat,dynamic viscosity,thermal conductivity and speed of sound on saturated liquid and saturated vapor.Temperature is used as single input parameter,the maximum absolute error predicted by the artificial neural networks ANNs,was around 3%.Thus,the numerical investigation under CFD solver ANSYSFLUENT becomes competitive with other CFD codes of which ANSYS-CFX in this area.In fact,the coupling of the Rensselaer Polytechnical Institute(RPI)wall boiling model and the developed Neural-UDF(User Defined Function)was found to be useful in predicting the vapor volume fraction in subcooled boiling flow.展开更多
利用软件提供的用户自定义标量(user defined scalar,UDS),并使用户自定义函数(user defined function,UDF)接口和用户自定义变量(user defined memory,UDM),将碳烟生成模型、碳烟辐射模型和挥发分析出模型嵌入商业计算流体力学(computa...利用软件提供的用户自定义标量(user defined scalar,UDS),并使用户自定义函数(user defined function,UDF)接口和用户自定义变量(user defined memory,UDM),将碳烟生成模型、碳烟辐射模型和挥发分析出模型嵌入商业计算流体力学(computational fluid dynamics,CFD)平台FLUENT中,并通过案例研究验证了开发程序在计算中尤其是大规模并行计算中的正确调用问题。结果表明,该文开发程序可应用于煤粉火焰中碳烟分布预测及其辐射传热影响分析,适用于二维或三维模型,满足常见CFD计算需求。模型预测结果及其与实验数据对比结果表明程序能较好地预测煤粉火焰中碳烟的分布,且碳烟辐射明显降低了火焰温度。该文开发的碳烟程序拓展了FLUENT性能,并使其能更好地预测煤粉火焰中的温度分布、传热量及污染物排放。展开更多
目的通过在FLUENT计算流体动力学分析软件中调用自主开发的用户自定义函数(user defined function,UDF)动网格程序,实现网格节点根据壁面切应力(wall shear stress,WSS)判据进行移动更新,并将此方法应用于模拟动脉粥样硬化(atherosclero...目的通过在FLUENT计算流体动力学分析软件中调用自主开发的用户自定义函数(user defined function,UDF)动网格程序,实现网格节点根据壁面切应力(wall shear stress,WSS)判据进行移动更新,并将此方法应用于模拟动脉粥样硬化(atherosclerosis,AS)的发展过程中。方法二次开发的UDF程序能够在计算过程中提取壁面各节点处WSS结果,若满足阈值判据条件则进行移动调整。采用弹性光顺与局部重构相结合的网格再生方法调控网格模型的更新,保证变形过程中的网格质量。结果 UDF程序成功提取出WSS并调整网格进行相应变形。初始狭窄造成的尾部涡流导致血管壁出现近端局部扩张,远端再狭窄的形貌特征,临床血管造影存在相似形貌。结论自主开发的UDF程序达到了预期效果,勾勒出了WSS影响下AS的形貌特征。在今后研究中可以考虑在动网格的变形控制方面添加更多影响因素,为AS临床预后及风险评测提供数值依据。展开更多
In the framework of this research, the principle focus is to analyze the effects of fluid Prandtl number (Pr) on natural convection heat transfer in a volumetrically heated molten pool. As a part of the work, numerica...In the framework of this research, the principle focus is to analyze the effects of fluid Prandtl number (Pr) on natural convection heat transfer in a volumetrically heated molten pool. As a part of the work, numerical analysis is performed for hemispherical 3-D vessel slice to investigate the physics of the effect of Pr number on convective heat transfer characteristics in the melt pool. The investigation is based on ANSYS FLUET, where natural convection heat transfer effect is taken into consideration by Phase-change Effective Convectivity Model (PECM), which is implemented with FLUENT CFD as User Defined Function (UDF), programed by the user. The PECM is tested first by a benchmark test against CFD to gain confidence in its applicability as an analysis tool. Different simulant materials are used with their thermo-physical properties representing different Pr number as input for modelling for both single and double layer melt pool configuration. The selected modelling approach is validated against RASPLAV experimental result with respect to the inner temperature distribution that qualifies our model to run in the proceeding calculation. It is ensured that an isothermal boundary condition (343 K) is applied along vessel outer wall throughout the series of simulation cases. The corresponding Rayleigh number (Ra) ranges from 1014 - 1015 and Prandtl number (Pr) 3 - 5. It is found that the fluid Pr number has small effects on the averaged Nu numbers in the convection-dominated regions. The decrease in the Pr number may cause a decrease in the Nu numbers on the top and sidewalls of cavities. In the conduction dominated regions (stably stratified bottom parts of enclosure), the effect of fluid Pr number on heat transfer is more significant and it grows with increasing Ra number.展开更多
针对风力机叶片结冰问题,采用欧拉两相流模型和FLUENT用户自定义函数(user defined function,UDF)计算NACA64618翼型/叶片的水滴收集系数。结果表明:水滴主要撞击在翼型前缘小范围内。随着攻角增大,水滴撞击极限往翼型压力面移动。受三...针对风力机叶片结冰问题,采用欧拉两相流模型和FLUENT用户自定义函数(user defined function,UDF)计算NACA64618翼型/叶片的水滴收集系数。结果表明:水滴主要撞击在翼型前缘小范围内。随着攻角增大,水滴撞击极限往翼型压力面移动。受三维效应的影响,叶尖区域水滴收集系数急剧减小,减小量最大可达59.6%。展开更多
文摘The present study is to develop a new user-defined function using artificial neural networks intent Computational Fluid Dynamics(CFD)simulation for the prediction of water-vapor multiphase flows through fuel assemblies of nuclear reactor.Indeed,the provision of accurate material data especially for water and steam over a wider range of temperatures and pressures is an essential requirement for conducting CFD simulations in nuclear engineering thermal hydraulics.Contrary to the commercial CFD solver ANSYS-CFX,where the industrial standard IAPWS-IF97(International Association for the Properties of Water and Steam-Industrial Formulation 1997)is implemented in the ANSYS-CFX internal material database,the solver ANSYS-FLUENT provides only the possibility to use equation of state(EOS),like ideal gas law,Redlich-Kwong EOS and piecewise polynomial interpolations.For that purpose,new approach is used to implement the thermophysical properties of water and steam for subcooled water in CFD solver ANSYS-FLUENT.The technique is based on artificial neural networks of multi-layer type to accurately predict 10 thermodynamic and transport properties of the density,specific heat,dynamic viscosity,thermal conductivity and speed of sound on saturated liquid and saturated vapor.Temperature is used as single input parameter,the maximum absolute error predicted by the artificial neural networks ANNs,was around 3%.Thus,the numerical investigation under CFD solver ANSYSFLUENT becomes competitive with other CFD codes of which ANSYS-CFX in this area.In fact,the coupling of the Rensselaer Polytechnical Institute(RPI)wall boiling model and the developed Neural-UDF(User Defined Function)was found to be useful in predicting the vapor volume fraction in subcooled boiling flow.
文摘利用软件提供的用户自定义标量(user defined scalar,UDS),并使用户自定义函数(user defined function,UDF)接口和用户自定义变量(user defined memory,UDM),将碳烟生成模型、碳烟辐射模型和挥发分析出模型嵌入商业计算流体力学(computational fluid dynamics,CFD)平台FLUENT中,并通过案例研究验证了开发程序在计算中尤其是大规模并行计算中的正确调用问题。结果表明,该文开发程序可应用于煤粉火焰中碳烟分布预测及其辐射传热影响分析,适用于二维或三维模型,满足常见CFD计算需求。模型预测结果及其与实验数据对比结果表明程序能较好地预测煤粉火焰中碳烟的分布,且碳烟辐射明显降低了火焰温度。该文开发的碳烟程序拓展了FLUENT性能,并使其能更好地预测煤粉火焰中的温度分布、传热量及污染物排放。
文摘In the framework of this research, the principle focus is to analyze the effects of fluid Prandtl number (Pr) on natural convection heat transfer in a volumetrically heated molten pool. As a part of the work, numerical analysis is performed for hemispherical 3-D vessel slice to investigate the physics of the effect of Pr number on convective heat transfer characteristics in the melt pool. The investigation is based on ANSYS FLUET, where natural convection heat transfer effect is taken into consideration by Phase-change Effective Convectivity Model (PECM), which is implemented with FLUENT CFD as User Defined Function (UDF), programed by the user. The PECM is tested first by a benchmark test against CFD to gain confidence in its applicability as an analysis tool. Different simulant materials are used with their thermo-physical properties representing different Pr number as input for modelling for both single and double layer melt pool configuration. The selected modelling approach is validated against RASPLAV experimental result with respect to the inner temperature distribution that qualifies our model to run in the proceeding calculation. It is ensured that an isothermal boundary condition (343 K) is applied along vessel outer wall throughout the series of simulation cases. The corresponding Rayleigh number (Ra) ranges from 1014 - 1015 and Prandtl number (Pr) 3 - 5. It is found that the fluid Pr number has small effects on the averaged Nu numbers in the convection-dominated regions. The decrease in the Pr number may cause a decrease in the Nu numbers on the top and sidewalls of cavities. In the conduction dominated regions (stably stratified bottom parts of enclosure), the effect of fluid Pr number on heat transfer is more significant and it grows with increasing Ra number.
文摘针对风力机叶片结冰问题,采用欧拉两相流模型和FLUENT用户自定义函数(user defined function,UDF)计算NACA64618翼型/叶片的水滴收集系数。结果表明:水滴主要撞击在翼型前缘小范围内。随着攻角增大,水滴撞击极限往翼型压力面移动。受三维效应的影响,叶尖区域水滴收集系数急剧减小,减小量最大可达59.6%。
