基于批生产的逐段式车间作业调度算法

探讨了离散作业型（Job shop）车间中的作业调度的分阶段模型，并根据离散作业调度的阶段性提出了基于作业状态空间的逐段式车间作业调度算法，通过对一个实际车间作业调度仿真比较，此算法运算速度比最短加工时间（SPT）和最少工作量剩余（LWR）算法快，其调度结果在实际作业车间具有可执行性。     

一种新颖组合变换器拓扑研究与应用

基于电源模块并联和串联的思想，提出了一种新颖双管正激组合变换器拓扑，克服了双管正激变换器副边二极管电压应力过高，输出电压和电流脉动大，只能应用于输出中低压场合的缺点，具有副边二极管电压应力低，可靠性高，原边开关管电流应力低，输出电压和电流脉动小，磁芯元件体积小等优点，本文对该新颖组合变换器进行分析，仿真和实验，表明适合应用于输入中，高电压，输出高压，大电流场合，并成功应用于某型飞机6KVA逆变器前级变换器，各项技术指标均符合设计要求。     

快速可重构信息系统的框架研究(英文)

变化和重构是快速可重构信息系统 (RRIS)的两个核心概念 ,RRIS对变化的适应或演化能力使它优于传统信息系统。本文首先提出 RRIS的体系结构 ,然后以 RRIS框架为重点 ,讨论框架的定义、分类及设计 ,研究框架的构成、构成元素 (业务构件 )的设计及构件如何在构架的组织下协调地安插在 CORBA的软总线上 ,实现类似硬件IC的即插即用。构件在框架上即插即用的灵活机制及热点构件 (反映变化 )的灵活运用 ,提高了框架的可扩展性、可定制性 ,从而提高了 RRIS适应变化的可重构性。     

Spacecraft survivability in the natural debris environment near the stable Earth-Moon Lagrange points

The theoretical analysis of the motion of natural space debris near the stable Earth-Moon Lagrange Points, $L_4$ and $L_5$, is presented with a focus on the potential debris risks to spacecraft operating near these points. Specifically, the research formulates a debris propagation model using four-body dynamics, then applies candidate probabilistic survivability models to a notional spacecraft operating at the $L_4$ and $L_5$ Lagrange points to quantify the collision risks to the spacecraft from natural debris particles. Of the survivability models implemented, the natural debris collision risks to spacecraft survivability are found to be incredibly low, but mitigation strategies to reduce the risk further are identified in this study. Overall, research into stable Lagrange point natural debris propagation improves understanding of the collision risks posed by the naturally occurring Kordylewski clouds and enhances operational planning for Lagrange point space missions.     

A Twin-CME Scenario for Ground Level Enhancement Events

Ground Level Enhancement (GLEs) events are extreme Solar Energetic Particle (SEP) events. Protons in these events often reach ～GeV/nucleon. Understanding the underlying particle acceleration mechanism in these events is a major goal for Space Weather studies. In Solar Cycle 23, a total of 16 GLEs have been identified. Most of them have preceding CMEs and in-situ energetic particle observations show some of them are enhanced in ICME or flare-like material. Motivated by this observation, we discuss here a scenario in which two CMEs erupt in sequence during a short period of time from the same Active Region (AR) with a pseudo-streamer-like pre-eruption magnetic field configuration. The first CME is narrower and slower and the second CME is wider and faster. We show that the magnetic field configuration in our proposed scenario can lead to magnetic reconnection between the open and closed field lines that drape and enclose the first CME and its driven shock. The combined effect of the presence of the first shock and the existence of the open close reconnection is that when the second CME erupts and drives a second shock, one finds both an excess of seed population and an enhanced turbulence level at the front of the second shock than the case of a single CME-driven shock. Therefore, a more efficient particle acceleration will occur. The implications of our proposed scenario are discussed.     

曲面和任意取向表面表面摩阻油膜测量法的进展

本文叙述曲面和任意取向表面表面摩阻测量方法的进一步的发展。介绍用漫射照明获取薄油膜等厚度干涉条纹谱的理论根据和实验结果。讨论了通过油流显示图像的分析,自动探测表面流线方位的可能性。所得结论表明油膜法也能应用于复杂的三维流动。     

弹道靶中超高速发射弹的流场及空气动力特性研究(英)

本文描述的是研究爆炸成型发射弹（ＥＦＰ）模型的流场及超高速空气动力特性所用的弹道试验设备;简要报导了记录全尺寸干涉图形的技术;对径向密度分布再现的方法进行了讨论;在零攻角实验时不同模型的空气动力阻力是采用简化方法来计算的;对各种不同ＥＦＰ型式的气动稳定性提出了定性估计的方法;并阐述了用于组合体超高速飞行特性研究的数值计算技术的基本原理     

收敛形进气道数值研究的验证

介绍一种新型的、具有最小喉道面积的三维高超声速进气道 (称之为收敛形进气道 )的数值和实验研究结果。表明使用这种形式的进气道 ,在整个飞行速度范围内可以降低阻力和高超声速发动机表面的热防护要求 ,通过降低外压缩表面的倾斜度和减少进气道及燃烧室壁的面积就可以做到这一点。在采用低维次流动的气体动力设计方法的基础上设计成这种形式的进气道。计算是在无粘气体模型构架内用有限体积法进行的。同时用边界层方程计算出计及粘性的气流特性和进气道特性。数值算法是通过收敛形进气道的有限宽楔形外压缩表面的计算和实验数据来验证的。进行实验研究的马赫数M=2～ 1 0 7,基于模型进气道高度的雷诺数Re=( 1～ 5) × 1 0 6。数值计算与实验结果一致性很好。这些结果也和通常的二维进气道的数据作了比较。     

基于磨粒分析方法的发动机磨损故障智能诊断技术

磨粒是研究磨损状态时最直接、最重要的信息元，通过对滑油中的磨粒进行监测与分析来判断机械设备的磨损情况，可以预防并监测机械设备的磨损故障。本文运用显微形态学方法建立了一套磨粒显微特征描述体系，以提取磨粒信息并进行磨损故障的模式识别；并结合摩擦学理论和人工智能方法，实现对发动机磨损故障的智能诊断和预测。     

含连续／离散变量结构优化中的神经网络与变尺度模拟退火方法

传统的优化方法难于有效地处理含有连续／离散混合变量优化问题，本文介绍了一种改进的变尺度模拟退火方法并与人工神经网络能量函数模型相结合，用于求解含连续／离散设计变量的工程结构优化问题，较好地解决了模拟退火技术用于工程结构优化时选取具有全局性的初始点困难及迭代次数较多的弱点。算例表明，该方法可以使模拟退火算法从局部最优的陷阱中跳出，最后求出整体最优解。