用电子自旋共振研究导热油的热稳定性

用电子自旋共振对国内几种典型合成油，基础油及加有添加剂的基础油，分别在不同温度下测定生成自由基的相对浓度，以及一定温度下放置一段时间自由基衰减情况，来考察导热油的热稳定性。     

基底元素表面富集与扩散阻档层

根据An－Ag系统以及An－Cu系统的扩散系数计算，提出了扩散阻挡层模型。利用这个模型对Au－Ag系统进行有关实验，得利了较好的验证。     

VSAT卫星通信：第一讲 VSAT：卫星通信的一个热门

本文首先给出了ＶＳＡＴ和ＶＳＡＴ卫星通信网的基本概念和ＶＳＡＴ的特点，发展背景及主要类型；然后着重介绍了ＶＳＡＴ的主要关键技术和ＶＳＡＴ在ＩＳＤＮ、个人通信和互连ＬＡＮ中的应用；在本文最后对ＶＳＡＴ的主要发展趋势进行了展望。     

Object-extending class transformations

Reorganisation and evolution of class hierarchies is important for object-oriented system development and has received considerable attention in the literature. The contributions of this paper are: (1) a formal study of a set of extension relations and transformations on class hierarchies; (2) a presentation of a small set of primitive transformations which form a minimal and complete basis for the extension relations; and (3) an analysis of the impact of these transformations at the object level.The study leads to a better understanding of evolution and reuse of object-oriented software and class hierarchies. It also provides a terminology and a means of classification for design reuse. The theory presented in this paper is based on the Demeter data model, which gives a concise mathematical foundation for classes and their inheritance and part-of relationships. Parts of the theory have been implemented in the Demeter System ^TM C++, a CASE tool for object-oriented design and programming.     

Impact of uncertainties on estimations of heat pump cycle performance

Sensitivity analysis is used to show how uncertainties in basic factors, such as heat transfer, pressure drop, compressor efficiency, and thermophysical properties, influence the result of heat pump cycle performance estimations. By comparing the results of this analysis with uncertainty levels of estimations and experimental determinations, it is established to what extent improvements in accuracy are needed. The investigation was carried out for several different applications and, as working fluids, both pure substances and non-azeotropic mixtures were examined. It was found that evaporation heat transfer and compressor efficiency are two areas where improvements are needed. It is also shown that estimates using very accurate, substance-specific, equations of state differ from those using more general types by up to 1 % for COP and 2% for capacity.     

快速凝固高碳铁基合金脉冲激光非平衡热处理

利用脉冲Ｎｄ：ＹＡＧ激光辐照对快速凝固高碳铁基合金进行非平衡相变热处理，发现在高能脉冲激光辐照时，原快速凝固共晶碳化物（Ｆｅ３Ｃ）异常迅速地石墨化，获得了含超细石墨球和既含超细石墨球又含快速凝固共晶Ｆｅ３Ｃ的两种新材料，研究表明，这种快速石墨化及上述两类新型材料的形成主要归因于脉冲激光光速辐照产生强烈周期性起伏温度场的“微退火（ｍｉｃｒｏ－ａｎｎｅａｌｉｎｇ）效应。     

Power Dissipation in Spintronic Devices Out of Thermodynamic Equilibrium

Quantum limits of power dissipation in spintronic computing are estimated. A computing element composed of a single electron in a quantum dot is considered. Dynamics of its spin due to external magnetic field and interaction with adjacent dots are described via the Bloch equations. Spin relaxation due to magnetic noise from various sources is described as coupling to a reservoir. Resulting dissipation of energy is calculated and is shown to be much less than the thermal limit, ∼kT per bit, if the rate of spin relaxation is much slower than the switching rate. Clues on how to engineer an energy efficient spintronic device are provided.     

全液压稠油热力开采过程井下流体的传热

针对稠油黏度高、密度大、驱替效率低,常规方法开采困难等问题,开展了稠油开采装置研究。介绍了全液压稠油开采装置在原油开采过程中的加热功能,分析了采油装置系统井下流体流动及传热过程。结合理论研究方法和热力学计算,建立了井下流体热交换的物理和数学模型,并对模型进行了分析、矫正和求解。以实际油井参数和液压油的流量、温度为输入参数,通过计算机仿真模拟了井下热交换参数之间的关系,从而改进了已获得的热交换理论方程和模型,并得出了原油的产量与液压油的输入量之间的关系,以及保温提采原油所需要的最小液压油输入量。该模型的建立为进一步研究不同井况和不同输入状态下的流体传热提供了理论依据。     

Comparative studies on Ar and He closed-cycle MHD power plants combined with fossil fuel

Comparative studies on Ar and He closed-cycle MHD power plants combined with fossil fuel are performed. The sizes of a regenerative heat exchanger and a boiler are expected to be smaller for He than for Ar. The pressure loss of a working gas in a regenerative heat exchanger is reduced for He. The purification subsystem for He is expected to be more compact and economical than that for Ar; but a larger compressor is required for He than for Ar.     

Network traffic prediction based on a new time series model

Fast and accurate methods for predicting traffic properties and trend are essential for dynamic network resource management and congestion control. With the aim of performing online and feasible prediction of network traffic, this paper proposes a novel time series model, named adaptive autoregressive (AAR). This model is built upon an adaptive memory‐shortening technique and an adaptive‐order selection method originally developed by this study. Compared to the conventional one‐step ahead prediction using traditional Box–Jenkins time series models (e.g. AR, MA, ARMA, ARIMA and ARFIMA), performance results obtained from actual Internet traffic traces have demonstrated that the proposed AAR model is able to support online prediction of dynamic network traffic with reasonable accuracy and relatively low computation complexity. Copyright © 2005 John Wiley & Sons, Ltd.