飞机蒙皮铝合金超声辅助搅拌摩擦焊试验分析

针对飞机蒙皮对接时,因搅拌摩擦焊(FSW)工艺窗口狭窄易致底部虚焊、弱连接等缺陷问题,为了探索更适合大飞机蒙皮长程稳定焊接的新方法,设计了超声辅助搅拌摩擦焊(UAFSW)与FSW的蒙皮连接对比试验,采用1.8 mm厚度的2524-T3铝合金进行了同种工艺条件下的UAFSW与FSW焊接,对表面成形良好、内部无缺陷的FSW与UAFSW焊缝,进行了拉伸、金相、扫描电镜观察等对比分析试验。结果表明,与FSW焊缝相比,UAFSW焊缝缺陷率明显降低,工艺窗口扩大;UAFSW焊缝表面纹理更细密,层叠现象消失;UAFSW焊缝的平均抗拉强度略高于FSW焊缝,达到母材强度的90.7%;UAFSW焊缝的平均延伸率则比FSW焊缝高20%左右。研究发现,超声的加入使UAFSW焊缝微观组织更细更均匀,晶粒尺寸变细小,且晶粒沿轧制方向的规律性被打乱,呈现无明显方向的杂序排列。     

Obtaining more accurate electron density profiles from bending angle with GPS occultation data: FORMOSAT-3/COSMIC constellation

Since 1995, with the first GPS occultation mission on board Low Earth Orbiter (LEO) GPS/MET, inversion techniques were being applied to GPS occultation data to retrieve accurate worldwide distributed refractivity profiles, i.e. electron density profiles in the case of Ionosphere. Important points to guarantee the accuracy is to take into account horizontal gradients and topside electron content above the LEO orbit. This allows improving the accuracy from 20% to 50%, depending on the conditions, latitude and epoch regarding to Solar cycle as reported in previous works.     

数字图像处理在焊缝识别中的应用

运用数字图像处理的方法,对电荷耦合器(CCD)摄像头在自然光下拍摄的焊接工件图像进行焊缝特征提取。针对图像的实际特征,采用中值滤波-Laplacian图像锐化一Roberts检测-焊缝提取和中值滤波-自适应阈值处理-焊缝提取两套方案对图像进行处理,提取出焊缝特征。通过实际处理结果的对比,后者能较好地对焊缝进行识别。     

自锁阀激光焊接工艺研究

研究了自锁阀激光焊接焦点位置与焊缝熔深之间的关系、焊接速度和激光功率与焊缝熔深之间的关系,分析了随着激光功率增加,不同焦点位置的焊接过程依次经历稳定热导焊,热导焊、深熔焊交替进行的不稳定焊接和稳定深熔焊接三种模式,进而研究了稳定焊接模式下工艺参数与焊缝熔深之间的关系,得出了自锁阀在稳定焊接模式下的最佳焊接工艺规范参数.采用该激光焊接工艺规范焊接的常压和高压自锁阀焊缝外观质量、气密、液压以及焊缝氦质谱检漏试验结果全部满足设计要求.常压和高压自锁阀已经应用于嫦娥五号、探月工程、东风导弹武器系统、货运飞船、921-3推进分系统、东方红三号等推进系统的液体火箭发动机之中.     

地球同步轨道高能电子增强事件预报方法

分析了地球同步轨道高能电子通量增强事件的发生规律及其与太阳风和行星际磁场参数的关系，并在此基础上建立了基于人工神经网络的高能电子增强事件模式，经实测数据检验，预报模式可以对未来1天的高能电子通量进行预报，误差为8．2％，达到了较高水平．     

EBPVD 金属/陶瓷微层复合材料的研究与应用

介绍了电子束物理气相沉积(EBPVD)法制备微层复合材料的优点，详述了其四种不同材料体系的设计思想，同时对制备金属／陶瓷微层复合材料的具体气相沉积技术进行了介绍。     

Electron coronal density irregularity\overline {n^2 } /(\bar n)^2 from measurements of K-coronal and lyman lines brightnesses

We propose a technique to derive the coronal density irregularity factor , wheren is the electron density. The absolute photometric comparison between the intensity of UV lines and the white-light K-coronal polarized brightness (pB) provides an unique constraint on the inhomogeneity of the corona. The ratio of the measured H I Lyman (Ly-) line intensity to the resonant-scattering dominated H I Lyman (Ly-) intensity can be used to extract the collisonal component of the Ly-. This component yields an estimate of . The quantity is then obtained from white-light K-coronal measurements. The use of lines of the same atomic species minimizes the effects due to outflow velocities (i.e., Doppler dimming), and reduces the errors introduced by the uncertainties in the ionization balance, the atomic parameters, and the solar abundances. The UVCS/SOHO unique capability of performing cotemporal and cospatial measurements of the Ly- and Ly- lines, and ofpB makes this instrument ideal for implementing this technique.     

厚板多层多道焊的数值模拟分析

在建立厚板多层多道焊的三维有限元数值分析模型的基础上,利用ANSYS软件中的单元“生死”技术处理多层多道焊问题,模拟得到了厚板多层多道焊时的温度场分布规律,并利用红外热像仪实时测定了实际焊接过程的温度场。比较实测温度场和模拟温度场的结果表明,模拟结果与试验结果基本吻合,证明所建数值模型是正确的。     

磁暴期间中纬度电离层剖面结构变化的数值模拟

利用电离层理论模型模拟了磁暴期间热层大气温度、成分、中性风和电场扰动对电离层电子密度剖面结构，特别是峰值密度和峰值高度变化的影响，结果表明，热层大气温度变化所引起光化反应系数的改变对电离层剖面结构影响不大；热层大气成分特别是Ｎ２／Ｏ的变化能有效地引起密度剖面变化，Ｎ２增加足以使峰值密度产生所观测到的负相暴；由中性风和电场引起等离子体漂移是峰值高度ｈｍＦ２变化的主要原因，但对电子密度的影响不足以抵消     

Prediction of ionospheric total electron content using adaptive neural network with in-situ learning algorithm

The Ionospheric Total Electron Content is responsible for the group delay of the signals from the Navigation satellites. This delay causes ranging error, which in turn degrades the accuracy of position estimated by the receivers. For critical applications, single frequency receivers resort to Satellite Based Augmentation Systems in order to have improved accuracy and integrity. The performance of these systems in terms of accuracy can be improved if predictions of the delays are available simultaneously with real measurements. This paper attempts to predict the Total Electron Content using adaptive recurrent Neural Network at three different locations of India. These locations are selected at the magnetic equator, at the equatorial anomaly crest and outside the anomaly range, respectively. In-situ Learning Algorithm has been used for tracking the non-stationary nature of the variation. Prediction is done for different prediction intervals. It is observed that, for each case, the mean and root mean square values of prediction errors remain small enough for all practical applications. Analysis of Variance is also done on the results.