基于虚拟仪器的智能电子鼻系统的设计

智能电子鼻对于有害气体和可燃性气体的检测具有重要意义;以NI公司Labview9.0为测试平台,利用PCI-1710HG数据采集卡、传感器阵列设计构成智能电子鼻系统;采用测量室和气体流量计精密控制气体密度和状态;虚拟仪器开发平台用于实时监测和显示采集得到的曲线和数据,并通过遗传算法改进后的BP神经网络进行分析,得到不同气体的浓度;最后使用不同阻值的精密电阻替代传感器对系统进行测试,结果表明系统对多种气体检测都具有高精度和高稳定性,能够进行高效智能化检测。     

General equation describing viscosity of metallic melts under horizontal magnetic field

Viscosities of pure Ga, Ga_(80)Ni_(20), and Ga_(80)Cr_(20) metallic melts under a horizontal magnetic field were investigated by a torsional oscillation viscometer. A mathematical physical model was established to quantitatively describe the viscosity of single and binary metallic melts under a horizontal magnetic field. The relationship between the viscosity and the electrical resistivity under the horizontal magnetic field was studied, which can be described as η_B = η +(2H/πΩ)B~2(η_B is the viscosity under the horizontal magnetic field, η is the viscosity without the magnetic field, H is the height of the sample,? is the electrical resistivity, and B is the intensity of magnetic field). The viscosity under the horizontal magnetic field is proportional to the square of the intensity of the magnetic field, which is in very good agreement with the experimental results. In addition, the proportionality coefficient of ηB and quadratic B, which is related to the electrical resistivity,conforms to the law established that increasing the temperature of the completely mixed melts is accompanied by an increase of the electrical resistivity. We can predict the viscosity of metallic melts under magnetic field by measuring the electrical resistivity based on our equation, and vice versa. This discovery is important for understanding condensed-matter physics under external magnetic field.     

微波电子自旋共振实验波形分析

详细分析了微波段用可调反射式谐振腔做电子自旋共振实验中共振信号的形成原理,分析指出下凹和上凸波形都为共振吸收信号,当波形的上下两部分等大时,为色散信号,波形的上下两部分不等大时,为色散信号和共振吸收信号的合成。从理论上解释了共振信号的变化所反映的物理过程。