机械合金化Fe-Ni粉末的相结构

使用XRD和Moessbauer等方法，研究了在Ar气氛下机械合金化Fe—Ni粉末相结构的变化．结果表明，在机械合金化Fe64-Ni36粉末过程中，fcc相的数量随着球磨时间的增加先增加然后减少，与加乙醇球磨Fe64-Ni36的情形相同．当Ni的含量(原子分数)大于50％时，有fcc相、顺磁相和FeNi3形成，当Ni的含量低于50％时，bcc相的数量随着Ni含量减少而增加．Moessbauer谱的结果表明，因球磨时间或Fe、Ni比例的不同，Fe—Ni球磨粉末固溶体具有不同结构的原子配比。     

机械合金化过程中Fe70B30粉末晶粒尺寸和微观应变的研究

用Ｘ射线和电镜研究了Ｆｅ＿（７０）Ｂ＿（３０）粉末经不同时间高能球磨后晶粒尺寸和微观应力的变化。在机械合金化过程中，粉末的Ｘ射线衍射谱的宽度随球磨时间的增加逐渐加宽，这是晶粒细化和内部微观应力共同作用的结果。Ｘ射线衍射结果表明：随着机械合金化的进行，粉末的晶粒尺寸逐渐减小，球磨初期晶粒尺寸下降较快，经１５ｈ球磨，晶粒尺寸为２５ｎｍ，机械合金化进行到一定时间后晶粒尺寸下降缓慢，８０ｈ球磨后晶粒尺寸可达５ｎｍ。在机械合金化过程中球磨所造成的微观应变不大，球磨初期粉末的内应力随球磨时间增加而增加，当粉末粒子尺寸很小时，随球磨的进行粉末中的微观应变显著下降。     

基于COM/DCOM技术的电信网络管理

本通过对TMN(电信管理网)思想以及COM／DCOM编程原理的分析，将COM／DCOM的功能特点与TMN电信网络管理的基本要求有机地结合在一起，提出了运用COM／DCOM技术建立TMN的基本设想，其原理是，将电信网的各种网元抽象为COM组件对象，组件对象实时反映所对应网元的各种特征数据，运用DCOM通信机制对这些组件对象及其特征数据进行监控管理，从而达到管理网元之目的。COM／DCOM的面向对象及分布式属性、操作系统和平台无关性、它的事件通知功能、高效的通信机制及其网络安全技术，均符合电信管理网络的功能要求。     

透湿膜的透湿机理与膜的研究概况

基于透湿膜的空气除湿是一种比较新颖的空气除湿方法。本文介绍了各种膜在空气除湿领域的应用情况，结合对膜制备工艺的简要介绍，侧重对原除湿原理，亲水性的高分子纤维素膜，凝胶膜和分子筛无机膜在空气除湿领域的研究和进展进行了分析。     

瞬态气体温度传感器研究

本文介绍了作者研制的瞬态气体温度传感器.针对传感器敏感元件的结构设计，应用等效物理模型，对影响温度测试精度和动态响应的结构参数以及使用方法进行了计算分析.研制出的温度传感器经激波管动态标定，证明其具有百微秒级的动态响应.本文最后介绍了在倒拖工况下，柴油机缸内瞬态气体温度的测试结果．     

城市RBD的成长机制与产业结构演变研究——以深圳华侨城为例

深圳华侨城是一个持续成长的休闲商务中心区的典型范例.在华侨城的成长和产业变迁过程中,休闲商务的发展具有很强的影响力.从城市边缘的华侨农场逐步发展为现代化城市中心区的RBD,华侨城演变的动力直接来源于4个方面:政策导向、市场导向、所有制导向和城市化导向.     

成核剂对不同特性粘数PET结晶性能的影响

研究了新型复合成核剂水滑石(HT)／离聚物(Surlyn8920)／聚乙二醇(PEG)对不同特性粘数聚对苯二甲酸乙二醇酯(PET)非等温结晶性能的影响。通过差示扫描量热仪测试了PET的结晶峰温度T_(mc)和熔融峰温度(T_m)。结果表明,复合成核剂各组分及PET的质量比为0.5:3.0:3.0:100.0时,各种PET的过冷度(T_m-T_(mc))均显著减少．半结晶时间(1gt_(1／2))也明显降低。而且,复合成核剂对不同特性粘数PET结晶性能的改善是一致的。     

Manipulating the microstructure and rheology in polymer‐organoclay composites

A series of nanocomposites prepared by melt‐blending of cloisite‐based organoclays with poly(ethylene‐vinylacetate) (EVA) and neutralized poly (ethylene‐methacrylic acid) (EMA) copolymers were investigated via DSC, small‐angle X‐ray scattering (SAXS), and rheological techniques. SAXS results indicated partial clay exfoliation in all samples. In both EMA and EVA systems, the nominal melting temperature T_m and bulk crystallinity are not significantly affected by the presence of organoclays, suggesting that clay particles are predominantly confined in the amorphous phase. In rheological measurements (above T_m), the EVA‐clay system demonstrated a solid‐like rheological behavior under the small‐strain oscillatory shear, yet it was able to yield and flow under a steady shear, which is the characteristic of physical crosslinking. In contrast, the EMA‐clay system exhibited a melt‐like rheological behavior, where the influence of organoclay on the thermorheological behavior of the EMA composite was quite minimal. We propose that the carbonyl groups of vinylacetate in EVA interact with the clay surface, resulting in a strong physically crosslinking like interaction in the melt. On the other hand, the interaction between EMA and clay is weak because of repulsion between carboxyl anions and negatively charged clay surface.     

基于整体-局部高阶剪切理论的层合板多体系统的动静力学分析

基于高阶剪切理论,推导了整体-局部1,2-3高阶位移模式.在满足层间位移连续,层间剪应力连续,以及上下表面自由的条件下,层合板每个节点的独立变量变为13,并且不随层合板层数的增加而变化.在此基础上将整体-局部1,2-3高阶位移模式推广到刚-柔耦合层合板多体系统,利用混合坐标法,基于虚功原理,建立了考虑层合板层间应力连续的多体系统动力学方程.通过静力学算例,验证了整体-局部1,2-3高阶位移模式的准确性,得到了层合板层间应力沿着厚度的分布情况.通过多体系统动力学算例,对比了传统方法的计算结果,揭示了本文方法与传统方法在计算层合板多体系统中层间应力的差异,说明了刚-柔耦合层合板多体系统考虑层间剪应力连续的必要性.     

Online hybrid traffic classifier for Peer-to-Peer systems based on network processors

It is estimated that 70% or more of broadband bandwidth is consumed by transmitting music, games, video and other content through Peer-to-Peer (P2P) clients. In order to detect, identify, and manage P2P traffic, some port, payload and transport layer feature based methods were proposed. Most of them were applied to offline traffic classification mainly due to the performance reason. In this paper, a network processors (NPs) based online hybrid traffic classifier is proposed. The designed hardware classifier is able to classify P2P traffic based on the static characteristic namely on line speed, and the Flexible Neural Tree(FNT) based software classifier helps learning and selecting P2P traffic attributes from the statistical characteristics of the P2P traffic. Experiment results illustrate that the hybrid classifier performs well for online classification of P2P traffic from gigabit network. The proposed framework also depicts good expansion capabilities to add new P2P features and to adapt to new P2P applications online.