高教机天线布局影响通讯距离研究与改进

某型高级教练机在试飞中,出现空地通讯距离不满足战技指标要求的问题。经过分析发现,由于超短波电台天线作为单极天线,其安装布局未满足天线本身要求,即接地面尺寸过小、近场区环境复杂等,导致天线辐射性能受到影响。本文对天线阻抗和方向性系数进行了研究分析,并根据飞机情况制定相应的改进方案。     

The Role of Magnetic Reconnection in CME Acceleration

Observations carried out from the coronagraphs on board space missions (LASCO/SOHO, Solar Maximum and Skylab) and ground-based facilities (HAO/Mauna Loa Observatory) show that coronal mass ejections (CMEs) can be classified into two classes based on their kinematics evolution. These two classes of CMEs are so-called fast and slow CMEs. The fast CME starts with a high initial speed that remains more or less constant; it is also called the constant-speed CME. On the other hand, the slow CME starts with a low initial speed, but shows a gradual acceleration; it is also called the accelerated and slow CME. Low and Zhang [Astrophys. J. 564, L53–L56, 2002] suggested that these two classes of CMEs could be a result of a difference in the initial topology of the magnetic fields associated with the underlying quiescent prominences. A normal prominence magnetic field topology will lead to a fast CME, while an inverse quiescent prominence results in a slow CME, because of the nature of the magnetic reconnection processes. In a recent study given by Wu et al. [Solar Phys. 225, 157–175, 2004], it was shown that an inverse quiescent prominence magnetic topology also could produce a fast CME. In this study, we perform a numerical MHD simulation for CMEs occurring in both normal and inverse quiescent prominence magnetic topology. This study demonstrates three major physical processes responsible for destabilization of these two types of prominence magnetic field topologies that can launch CMEs. These three initiation processes are identical to those used by Wu et al. [Solar Phys. 225, 157–175, 2004]. The simulations show that both fast and slow CMEs can be initiated from these two different types of magnetic topologies. However, the normal quiescent prominence magnetic topology does show the possibility for launching a reconnection island (or secondary O-line) that might be thought of as a “CME’’.     

大口径远程榴弹气动力-外弹道综合优化设计

在大口径远程榴弹设计中,在保证弹丸具有足够的威力,飞行稳定性和发射强度的前提下,使弹丸具有最大射程是一个很有意义的问题。本文给出了大口径远程榴弹气动力一外弹道综合优化设计数学模型,本文还首次涉及了底部排气弹外形优化问题。     

硝化纤维素溶冰冻过程中的折光指数增量

用定量体积排斥色谱（ＳＥＣ）的方法,以示差分析检测器的响应为基础,测定了硝化纤维素溶液冰冻及其加热以后的折光指数增量,结果表明,冰冻后,由于分子链发生链内聚聚（缠结）硝化纤维素分子链周围溶剂化溶剂分子数减少,使硝化纤维素溶液的示差折光指数增量增加,加热后,由于硝化纤维素分子链获得能量,链内缠结点解开,溶剂化溶剂分子数增加,造成硝化纤维素溶液的折光指数增量降低,由此建立了以折光指数增量为基础,估算经     

催化点火器高空点火性能的实验研究

介绍国产催化点火器高空点火性能模拟试验,主气流温度为５００℃左右、加力室压力为０．０４—０．１２ＭＰａ,对催化点火器的着火延迟时间和贫富油点火极限进行了测量。试验结果表明：当飞行高度为１７０００—１７５００ｍ,飞行马赫数Ｍａ＝１．０时,催化点火器可以正常点燃某型发动机加力燃烧室。     

利用神经元拓展正则极端学习机预测时间序列

为实现对于时间序列预测数据的准确预测,提出一种神经元拓展正则极端学习机(NERELM,Neuron-Expanding Regularized Extreme Learning Machine),并研究了其在时间序列预测中的应用.NERELM根据结构风险最小化原理权衡经验风险与结构风险,以逐次拓展隐层神经元的方式自动确定最佳的网络结构,以避免传统神经网络训练过程中需人为确定网络结构的弊端.应用于时间序列的仿真结果表明:NERELM可有效实现对于RELM最佳网络结构的自动确定,具有预测精度高与计算速度快的优点.      

RTM 用R801 树脂工艺及性能

对一种新型RTM用双马来酰亚胺树脂R801的固化反应特性、成型工艺及其制备的复合材料性能进行了研究,DSC曲线表明该树脂体系的固化温度为170～220℃;黏度随温度变化曲线表明在70～120℃,树脂黏度增长缓慢,具有不少于7 h的适用期;在90℃左右时,其初始黏度<100 mPa.s,工艺操作窗口时间≥10 h;该树脂制备的MT300碳纤维复合材料在300℃时的压缩、弯曲、层剪性能保持率均≥63%。     

新的导弹协同定位技术

导弹协同作战的关键技术之一是导弹的精确定位技术,针对在体系对抗条件下,如何提高导弹集群的导航定位精度问题,构建了以弹载数据链和惯导系统为核心的协同定位系统,提出了一种基于相互测距信息的导弹协同定位方法.该方法使用加权秩亏自由网平差的方法来估计导弹集群的惯导系统定位误差.仿真表明:该方法可以有效地延缓惯导位置误差的发散速度和提高惯导定位精度,随着导弹数量的增多,惯导定位精度不断提高,当导弹数量大于4时,惯导定位精度将提高2倍以上.