The room temperature section of the phase diagram of Co-Ge-Sn ternary system has been determined by means of X-ray powder diffraction method.The section determined consists of 12 single-phases,22 two-phase regions,and...The room temperature section of the phase diagram of Co-Ge-Sn ternary system has been determined by means of X-ray powder diffraction method.The section determined consists of 12 single-phases,22 two-phase regions,and 11 three-phase re- gions.Two new phases,called δ and η respectively in this paper,have been found.The former is a binary phase with invariable composition(80.46at%Sn)corresponding to formula CoSn_4,and the latter is a ternary phase occuping a homogenous range.The experimental data also show that Co_2Ge phase has a smaller region than that in Ref.1,2,while β-Sn,Ge,CoSn,CoSn_2 and Co_2Ge_3 are phases with invariable compositions.展开更多
To improve the thermal efficiency and reduce nitrogen oxides （NOx ） emissions in a power plant for energy conservation and environment protection, based on the reconstructed section temperature field and other relat...To improve the thermal efficiency and reduce nitrogen oxides （NOx ） emissions in a power plant for energy conservation and environment protection, based on the reconstructed section temperature field and other related parameters, dynamic radial basis function （RBF） artificial neural network （ANN） models for forecasting unburned carbon in fly ash and NO, emissions in flue gas ware developed in this paper, together with a multi-objective optimization system utilizing particle swarm optimization and Powell （PSO-Powell） algorithm. To validate the proposed approach, a series of field tests were conducted in a 350 MW power plant. The results indicate that PSO-Powell algorithm can improve the capability to search optimization solution of PSO algorithm, and the effectiveness of system. Its prospective application in the optimization of a pulverized coal （ PC ） fired boiler is presented as well.展开更多
The heat transfer performance of ultra-thin flat heat pipes with#180 copper mesh wick was studied by numerical simulation for different heating powers.The length,width and height of the ultra-thin flat heat pipe are 8...The heat transfer performance of ultra-thin flat heat pipes with#180 copper mesh wick was studied by numerical simulation for different heating powers.The length,width and height of the ultra-thin flat heat pipe are 80 mm,8.5 mm and 1 mm,respectively.The temperature distribution and flow characteristics of ultra-thin flat heat pipes were simulated by coupling porous media model and user-defined function(UDF)in FLUENT.To validate the accuracy of the numerical model,the simulation results of the ultra-thin flat heat pipe are compared with the experimental data in predicting the evaporation section temperature.The numerical model has good accuracy for the one-dimensional heat transfer method of ultra-thin flat heat pipes.The velocity,pressure drop of the wick and total temperature difference have the same variation trend.With the increase of heating power,the temperature difference of ultra-thin flat heat pipes increases,and the pressure drop and the liquid velocity in the wick also increase.展开更多
文摘The room temperature section of the phase diagram of Co-Ge-Sn ternary system has been determined by means of X-ray powder diffraction method.The section determined consists of 12 single-phases,22 two-phase regions,and 11 three-phase re- gions.Two new phases,called δ and η respectively in this paper,have been found.The former is a binary phase with invariable composition(80.46at%Sn)corresponding to formula CoSn_4,and the latter is a ternary phase occuping a homogenous range.The experimental data also show that Co_2Ge phase has a smaller region than that in Ref.1,2,while β-Sn,Ge,CoSn,CoSn_2 and Co_2Ge_3 are phases with invariable compositions.
文摘To improve the thermal efficiency and reduce nitrogen oxides （NOx ） emissions in a power plant for energy conservation and environment protection, based on the reconstructed section temperature field and other related parameters, dynamic radial basis function （RBF） artificial neural network （ANN） models for forecasting unburned carbon in fly ash and NO, emissions in flue gas ware developed in this paper, together with a multi-objective optimization system utilizing particle swarm optimization and Powell （PSO-Powell） algorithm. To validate the proposed approach, a series of field tests were conducted in a 350 MW power plant. The results indicate that PSO-Powell algorithm can improve the capability to search optimization solution of PSO algorithm, and the effectiveness of system. Its prospective application in the optimization of a pulverized coal （ PC ） fired boiler is presented as well.
基金supported by the National Natural Science Foundation of China(Granted No.52176156)。
文摘The heat transfer performance of ultra-thin flat heat pipes with#180 copper mesh wick was studied by numerical simulation for different heating powers.The length,width and height of the ultra-thin flat heat pipe are 80 mm,8.5 mm and 1 mm,respectively.The temperature distribution and flow characteristics of ultra-thin flat heat pipes were simulated by coupling porous media model and user-defined function(UDF)in FLUENT.To validate the accuracy of the numerical model,the simulation results of the ultra-thin flat heat pipe are compared with the experimental data in predicting the evaporation section temperature.The numerical model has good accuracy for the one-dimensional heat transfer method of ultra-thin flat heat pipes.The velocity,pressure drop of the wick and total temperature difference have the same variation trend.With the increase of heating power,the temperature difference of ultra-thin flat heat pipes increases,and the pressure drop and the liquid velocity in the wick also increase.
