多毛细管电雾化喷洒模式及稳定喷洒特征研究

通过采用传统的金属毛细管搭建了多喷管电雾化实验装置.初步获得了多管道电雾化喷洒的各种模式.并比较了乙醇在单、多管道条件下"锥-射流"模式喷洒的两个重要指标:稳定喷洒的起始电压和电流-流量关系.尽管结果显示由于加工/装配过程中的差异,各管道之间的喷洒状态会存在一定差异;但两种条件下的锥-射流喷洒模式服从相似规律:(1)稳定喷洒起始电压(V_C)与Taylor锥半锥角(θ)余弦的1/2次方成正比;(2)多管电雾化总电流(I)与流量(Q)的1/2次方成正比.它表明在常规尺度下,稳定电雾化喷洒射流的主要影响因素为锥-射流过渡区内液体界面上的极化电荷,而外界工作电场分布对稳定喷洒雾化效果影响较小.     

Variational principles for buckling and vibration of MWCNTs modeled by strain gradient theory

Variational principles for the buckling and vibration of multi-walled carbon nanotubes （MWCNTs） are established with the aid of the semi-inverse method. They are used to derive the natural and geometric boundary conditions coupled by small scale parameters. Hamilton＇s principle and Rayleigh＇s quotient for the buckling and vibration of the MWCNTs are given. The Rayleigh-Ritz method is used to study the buckling and vibration of the single-walled carbon nanotubes （SWCNTs） and double-walled carbon nanotubes （DWCNTs） with three typical boundary conditions. The numerical results reveal that the small scale parameter, aspect ratio, and boundary conditions have a profound effect on the buckling and vibration of the SWCNTs and DWCNTs.     

Surface effects of adsorption-induced resonance analysis on micro/nanobeams via nonlocal elasticity

The governing differential equation of micro/nanbeams with atom/molecule adsorption is derived in the presence of surface effects using the nonlocal elasticity.The effects of the nonlocal parameter,the adsorption density,and the surface parameter on the resonant frequency of the micro/nanobeams are investigated.It is found that,in addition to the nonlocal parameter and the surface parameter,the bending rigidity and the adsorption-induced mass exhibit different behaviors with the increase in the adsorption density depending on the adatom category and the substrate material.     

MIMO无线信道建模及性能评估

基于开阔地随机模型假设，分析了多天线无通信系统的典型统计模型和物理模型两种信道建模技术，推导出基于空间衰落相关性的克罗内克积模型和基于路径的统计簇模型，并通过仿真比较了两种模型的性能。结合多天线信道矩阵的特征分析方法，设计利用多天线系统并行子信道的MEA-SVD算法来获得高的阵列增益。该算法包括跟踪和训练两种工作模式。考虑克罗内克积信道模型时，我们对接收机采用MEA-SVD算法时系统性能进行仿真评估，并指出了在实际应用中存在的局限性。