采用水雾化法制备含Ni、Cu、Bi、Te等多元素掺杂的Ag Sn In合金粉末,将合金粉末在一定条件下内氧化,经过破碎、过筛得到多氧化物掺杂Ag Sn O2In2O3粉末。粉末经冷等静压、烧结、挤压、拉拔、打制等工艺后制成铆钉型触头,与合金内氧化法(...采用水雾化法制备含Ni、Cu、Bi、Te等多元素掺杂的Ag Sn In合金粉末,将合金粉末在一定条件下内氧化,经过破碎、过筛得到多氧化物掺杂Ag Sn O2In2O3粉末。粉末经冷等静压、烧结、挤压、拉拔、打制等工艺后制成铆钉型触头,与合金内氧化法(AOM)制备的同等Ag、Sn、In含量的材料进行力学物理性能和电性能比较。结果表明:多元素掺杂粉末内氧化法(POM)制备的Ag Sn O2In2O3电接触材料的硬度、抗拉强度、抗电弧侵蚀和抗材料转移性能明显优于AOM制备的Ag Sn O2In2O3电接触材料。展开更多
To mitigate the damages produced by flood discharges of hydropower stations, a three-dimensional numerical model of the aerated water jet restricted by gravity, air resistance and air buoyancy is proposed. Based on th...To mitigate the damages produced by flood discharges of hydropower stations, a three-dimensional numerical model of the aerated water jet restricted by gravity, air resistance and air buoyancy is proposed. Based on theoretical analysis and prototype data, a three-dimensional stochastic model is constructed using Monte Carlo method to evaluate the range of atomization and intensity of rainfall in gorges, which are strongly affected by complex terrain and various wind conditions. The prototype data observed from two hydropower stations are selected in the feedback and verification analysis to verify the proposed model. The result shows that the computational solutions fit the prototype data well. This model can be used to forecast the atomization of a hydropower station that is being designed or constructed.展开更多
文摘采用水雾化法制备含Ni、Cu、Bi、Te等多元素掺杂的Ag Sn In合金粉末,将合金粉末在一定条件下内氧化,经过破碎、过筛得到多氧化物掺杂Ag Sn O2In2O3粉末。粉末经冷等静压、烧结、挤压、拉拔、打制等工艺后制成铆钉型触头,与合金内氧化法(AOM)制备的同等Ag、Sn、In含量的材料进行力学物理性能和电性能比较。结果表明:多元素掺杂粉末内氧化法(POM)制备的Ag Sn O2In2O3电接触材料的硬度、抗拉强度、抗电弧侵蚀和抗材料转移性能明显优于AOM制备的Ag Sn O2In2O3电接触材料。
基金Supported by Natural Science Foundation of China (No.50379033)Program for New Century Excellent Talents in University.
文摘To mitigate the damages produced by flood discharges of hydropower stations, a three-dimensional numerical model of the aerated water jet restricted by gravity, air resistance and air buoyancy is proposed. Based on theoretical analysis and prototype data, a three-dimensional stochastic model is constructed using Monte Carlo method to evaluate the range of atomization and intensity of rainfall in gorges, which are strongly affected by complex terrain and various wind conditions. The prototype data observed from two hydropower stations are selected in the feedback and verification analysis to verify the proposed model. The result shows that the computational solutions fit the prototype data well. This model can be used to forecast the atomization of a hydropower station that is being designed or constructed.
