图像法求液滴表面张力和接触角

空间流体实验具有无人操作的特殊性,需要对监控图像进行实时处理,得到目标参数.本文研究了利用照相机捕捉到的液滴灰度图像,分析求取液滴的表面张力、接触角、体积等物理参数的方法.针对液滴的灰度图像,利用边界提取、域值分割等图像处理方法,得到液滴的基本轮廓.建立基于液面像素点坐标的拉普拉斯方程,运用牛顿一拉夫逊法、龙格-库塔法、坐标轮换法等多种数值方法,对液滴的边界进行拟合,寻求最优的轮廓拟合点.根据最优的拟合点,确定液滴的物理参数.提出了利用牛顿法与一维寻优相结合的算法进行轮廓拟合的方法,并与文献[1]提出的算法进行了比较,证明了该方法具有收敛速度较快,拟合精度较高的特点.该方法是实现空间蒸发液滴热毛细对流和接触角测量实验的一项关键技术,同时也可以运用到非接触测量的实验场合.      

两种层板性能对比

针对常规的141型层板,提出了一种增加50％数量扰流柱的设计,即161型层板.采用实验和数值模拟相结合的办法研究了两种类型层板在流阻和换热方面的差别.换热实验部分采用了辐射式加热设备,测量了层板上下表面平均壁温,以及冷气进、出口截面间的焓差,得到了相应进气雷诺数下的层板体积换热努塞尔数.发现161模型流阻降低20％,换热增强5％.对一些实验工况,采用三维计算流体力学程序进行了流-固耦合传热数值模拟,所得结果在趋势上与实验一致,在数值上,流阻和换热与实验结果分别相差5％和30％.利用数值模拟结果分析并比较了两种模型在流场和表面对流换热系数分布方面的细节差别.      

基于SVM的浮动车行驶模式判断模型

浮动车在低速情况下存在两种行驶模式,如不能对上述模式进行准确区分,将严重影响浮动车实时路况计算的精度和效率.研究和设计了一个基于支持向量机(SVM,Support Vector Machine)的浮动车行驶模式判断模型,并针对性地提出了一种简单的基于隶属度矩阵的特征评价和选择方法.实验表明通过上述方法选择的特征子集所训练的分类器在测试样本集上具有92.6%的分类准确性;经过行驶模式分析后,浮动车系统的准确性有显著提升.      

航空发动机润滑系统通用分析软件开发

发展了一种全新的航空发动机润滑系统通用分析软件.采用流动换热的网络算法, 将发动机润滑系统分解成由相应的典型元件和节点组成的网络, 用有限的元件和流动介质类型就可描述通用的发动机润滑系统.元件分为简单元件和组合元件, 并和润滑系统结构一一对应, 方便了元件的初始化.软件前台采用图形建模方式生成计算网络, 后台采用了网络自动识别技术, 方便了复杂网络的建立.可视化界面及支撑数据库, 提高了软件的易用性.      

学科间载荷参数空间插值传递方法

针对多学科优化分析中面面耦合学科网格间载荷传递的问题, 提出了在参数空间中的三次函数插值传递方法.该方法将三维空间的源学科载荷点投影到二维参数空间平面上, 用三次插值函数对目标点载荷进行计算.此方法解决了叶片表面弯曲对载荷传递精度的影响.某涡轮叶片温度传递的结果表明本文的方法具有很高的精度.      

航空发动机数控系统中LVDT传感器信号处理及在线故障检测

通过对线位移差动变压器(LVDT)信号处理电路的深刻研究, 给出了芯片发热、温漂、信号精度等问题的一般解决方法, 提出了一种通过软、硬件结合, 在不增加外围器件的情况下对LVDT传感器进行在线故障检测的定值判断法.发动机台架试验结果表明, 所提出的方法是行之有效的.      

Maxwell方程的高阶间断有限元数值解法

采用高精度方法求解时域Maxwell方程,方程的空间离散采用基于计算流体力学(Computational fluid dynamics,CFD)领域的高阶间断有限元格式,非定常时间迭代采用四步龙格-库塔格式。为了提高计算效率,本文采用了Quadrature-free implementation和网格分区并行技术。数值结果表明,采用高阶格式的情况下,采用稀疏网格便可以得到高精度数值解。另外由于本文的方法基于非结构网格,因此非常适合计算复杂外形的情况。     

A new global version of M(3000)F2 prediction model based on artificial neural networks

A new version of global empirical model for the ionospheric propagation factor, M(3000)F2 prediction is presented. Artificial neural network (ANN) technique was employed by considering the relevant geophysical input parameters which are known to influence the M(3000)F2 parameter. This new version is an update to the previous neural network based M(3000)F2 global model developed by Oyeyemi et al. (2007), and aims to address the inadequacy of the International Reference Ionosphere (IRI) M(3000)F2 model (the International Radio Consultative Committee (CCIR) M(3000)F2 model). The M(3000)F2 has been found to be relatively inaccurate in representing the diurnal structure of the low latitude region and the equatorial ionosphere. In particular, the existing hmF2 IRI model is unable to reproduce the sharp post-sunset drop in M(3000)F2 values, which correspond to a sharp post-sunset peak in the peak height of the F2 layer, hmF2. Data from 80 ionospheric stations globally, including a good number of stations in the low latitude region were considered for this work. M(3000)F2 hourly values from 1987 to 2008, spanning all periods of low and high solar activity were used for model development and verification process. The ability of the new model to predict the M(3000)F2 parameter especially in the low latitude and equatorial regions, which is known to be problematic for the existing IRI model is demonstrated.     

Cosmic Ray Energetics And Mass for the International Space Station (ISS-CREAM)

The Cosmic Ray Energetics And Mass (CREAM) instrument is configured with a suite of particle detectors to measure TeV cosmic-ray elemental spectra from protons to iron nuclei over a wide energy range. The goal is to extend direct measurements of cosmic-ray composition to the highest energies practical, and thereby have enough overlap with ground based indirect measurements to answer questions on cosmic-ray origin, acceleration and propagation. The balloon-borne CREAM was flown successfully for about 161 days in six flights over Antarctica to measure elemental spectra of Z = 1–26 nuclei over the energy range 10¹⁰ to >10¹⁴ eV. Transforming the balloon instrument into ISS-CREAM involves identification and replacement of components that would be at risk in the International Space Station (ISS) environment, in addition to assessing safety and mission assurance concerns. The transformation process includes rigorous testing of components to reduce risks and increase survivability on the launch vehicle and operations on the ISS without negatively impacting the heritage of the successful CREAM design. The project status, including results from the ongoing analysis of existing data and, particularly, plans to increase the exposure factor by another order of magnitude utilizing the International Space Station are presented.     

基于半实物仿真的地磁导航等值线匹配算法评估

影响地磁导航匹配算法性能的因素很多,而现阶段算法的评估完全依靠计算机仿真,其可信性有待进一步验证.以等值线(ICCP)算法为研究对象,首先从理论上分析影响算法性能的因素;然后搭建了地磁匹配导航半实物仿真系统,通过引入磁场仿真环境和磁传感器,提高了仿真的可信度;最后从测量噪声、匹配长度、匹配区域和惯导误差4个方面对ICCP 匹配算法的性能进行半实物仿真试验分析.仿真结果表明,通过半实物仿真试验可以对算法的抗干扰性、算法匹配长度的确定、匹配区域的选择以及惯导误差的影响做出有效评估,从而推动地磁匹配导航及匹配算法的工程化进程.