Microstructure and properties of SiC gradiently coated Cf/C composites prepared by a RCLD method

The SiC gradiently coated carbon fiber/carbon (C_f/C) composites were prepared by a two-step rapid chemical liquid deposition (RCLD) method. The microstructure and properties of the composites were investigated using X-ray diffraction, scanning electron microscopy together with energy dispersive X-ray analysis, bending tests, and oxidation tests. The experimental results show that the surface layer of the composites is composed of SiC, pyrocarbon, and carbon fibers. Their inner area consists of pyrocarbon and carbon fibers. The SiC content gradiently decreases with increasing distance from the outer surface to the center of the composites. Furthermore, the thickness of the SiC layer increases with increasing tetraethylorthosilicate content and deposition time. SiC coatings have no significant influence on the bending strength of the composites. However, the oxidation resistance of the composites increases with increasing thickness of the SiC layer.     

MATLAB在动态电路分析中的应用

通过几个具体的电路实例,介绍了MATLAB的电路分析方法在动态电路分析方面的应用．利用MATLAB的dsolve函数来求解电路的微分方程（组）;用diff函数求导数,根据电压（电流）求出电流（电压）;利用plot函数绘制电压和电流的变化曲线;利用Simulink功能可直接建立电路仿真模型,使解题过程变得简单、便捷．     

二阶Emden-Fowler中立型时滞微分方程振动性

借助广义Riccati变换和不等式技巧,研究了二阶Emden-Fowler中立型时滞微分方程的振动性,给出了该类微分方程解区间振动的几个新准则.     

初始损伤对岩体力学性质影响的试验研究

为获取不同初始损伤量对岩体力学性质的影响规律,通过室内单轴压缩试验,研究了含不同初始损伤试件在不同阶段的破坏规律,从定量及定性角度分析了裂隙数量及裂隙面间距对试件极限强度、弹性模量的影响,并给出了一定裂隙尺度下的经验公式.所获得的成果,对于工程岩体的安全和稳定性具有重要的参考意义.     

Application of Kernel GDA to Performance Monitoring and Fault Diagnosis for Rotating Machinery

Faults in rotating machine are difficult to detect and identify,especially when the system is complex and nonlinear.In order to solve this problem,a novel performance monitoring and fault diagnosis method based on kernel generalized discriminant analysis(kernel GDA,KGDA) was proposed.Through KGDA,the data were mapped from the original space to the high-dimensional feature space.Then the statistic distance between normal data and test data was constructed to detect whether a fault was occurring.If a fault had occurred,similar analysis was used to identify the type of faults.The effectiveness of the proposed method was evaluated by simulation results of vibration signal fault dataset in the rotating machinery,which was scalable to different rotating machinery.     

非均匀类簇密度聚类的多粒度自学习算法

针对非均匀类簇密度聚类问题,从商空间粒度理论出发,提出一种多粒度自学习聚类算法 (multi-granularity self learning clustering algorithm, MSCA)。算法通过构造聚合树结构和定义粒度函数对问题逐层求解,并在每层聚合过程中根据聚合区间以自学习的方式动态确定聚合粒度,解决了传统聚类算法从非均匀类簇密度数据中无法得到不同层次的聚合特征且参数对经验依赖性过高的问题。理论和实验表明,MSCA算法可以发现任意形状类簇,有效处理噪声,并能发现关键聚合层,具有较好的计算复杂性。     

Short-range structural change in indium melt by Gaussian peaks decomposing of RDF

Liquid indium's structure was studied at 280, 390, 550, 650, and 750℃ Crespectively by using an elevated temperature X-ray diffractometer, and its radial distribution function (RDF) at different temperatures was decomposed into 4 Gaussian peaks in the range of 0.2-0.6nm. Positions of the decomposed Gaussian peaks were compared with the nearest and the second nearest neighbor atomic distances, respectively. It is shown that the position of the first decomposed Gaussian peak is similar to the nearest neighbor atomic distance in liquid In at the corresponding temperature, and that of the third decomposed Gaussian peak is similar to the second nearest neighbor atomic distance. Moreover, the first and the third Gaussian peaks correspond to the first and the second atom shells of liquid In at the corresponding temperatures, respectively.Therefore, the position and the area of Gaussian peaks can represent the position and atom number ofcorresponding shells. Based on this result, short-range structural changes in liquid In was studied. It was found that the first and the second shells are close to the referred atom, and the atom number at the shells decreases with the increasing temperature from 280 to 750℃. In different ranges of temperature, structural changes in the first and the second shells showdifferent features.     

Metal–air batteries: A review on current status and future applications

Metal–air batteries(MABs) have been paid much more attention owing to their greater energy density than the most advanced lithium-ion batteries(LIBs). Rechargeable MABs are considered as promising candidates for the next-generation of energy storage techniques for applications ranging from large-scale energy storage systems to electric vehicles and portable devices. However, there are still numerous scientific problems that must be overcome before their commercial application. With the aim of pr...     

基于CFD的血管病变部位血流流变特性分析

为探究血管病变对血流流动特性的影响，研究了血管结构改变前后血流流动特性的改变.提出了一种对血管病变前后的血流流场进行对比研究分析的方法，利用断层扫描数据建立几何模型，用Geomagic Studio将病变血管复原成为发生病变前的形状，并基于弹性血管中血流脉动的力学特性，使用ANSYS软件对采用牛顿流体力学模型的分叉部位血流流场进行数值模拟.模拟结果显示病变组织部位受到更大的切应力影响，而在病变组织远心端产生了明显的流速低和切应力低的二次流动和更大的血压压差，这些流体特性会对血管进一步病变产生重要影响.     

Adaptive Output-Feedback Stabilization for PDE-ODE Cascaded Systems with Unknown Control Coefficient and Spatially Varying Parameter

This paper investigates the adaptive stabilization for a class of uncertain PDE-ODE cascaded systems. Remarkably, the PDE subsystem allows unknown control coefficient and spatially varying parameter, and only its one boundary value is measurable. This renders the system in question more general and practical, and the control problem more challenging. To solve the problem,an invertible transformation is first introduced to change the system into an observer canonical form,from which a couple of filters are constructed to estimate the unmeasurable states. Then, by adaptive technique and infinite-dimensional backstepping method, an adaptive controller is constructed which guarantees that all states of the resulting closed-loop system are bounded while the original system states converging to zero. Finally, a numerical simulation is provided to illustrate the effectiveness of the proposed method.