钛基材上羟基磷灰石生物活性研究

考察了电沉积时添加双氧水(H2O2)与不添加H2O2对羟基磷灰石涂层在模拟体液(Simulated body fluid,SBF)和柠檬酸修饰的磷酸缓冲液(Citric acid-containing phosphate buffer solutions,CPBS)中浸泡时生物活性的影响。扫描电镜(SEM)观察了涂层的形貌,X射线衍射仪(XRD)与傅里叶变换红外吸收光谱测试仪(FTIR)对涂层的物相组成、结构进行了分析。SBF浸泡试验表明涂层具有良好的生物活性;CPBS浸泡试验表明电沉积时加入H2O2的涂层的溶解性降低。本项工作对研制钛基材上高生物活性、长效性的羟基磷灰石涂层有积极意义。     

民用飞机废水系统非定常三相流动特性研究

废水系统属于民用飞机机载系统的重要组成部分,污水排放的有效性直接关系到乘客的乘坐舒适性与健康。因此,有必要对民用飞机废水系统中的气液固三相流动进行研究。采用欧拉方法模拟废水管路的气液固三相流动,对飞行高度、马桶工作状态因素对废水排放的影响进行分析。结果表明：仅最远端马桶工作时,随着飞行高度的增加,废水流动的核心峰值时间提前,废水完全排出所需时间从3.31 s缩短至1.87 s,废水均能快速排入废水箱;当三个马桶同时工作时,靠近废水箱的马桶开启会减小废水管路中的负压,不同横截面流速平均下降了66.5%,导致最远端马桶废水无法快速排出,排放效率有所降低;当靠近废水箱的马桶冲洗时间调整为2 s,同时将最远端马桶单独开启时,可以保证最远端马桶中的废水完全排入废水箱。     

基于M56F807的无人机飞控系统设计

针对小型无人机飞控系统在功耗、成本、可靠性以及集成度等方面的较高要求,设计了一种基于Freescale M56F807型DSP和PID控制策略的飞控系统。针对某型号的无人机,详细阐述了系统的设计思想及其基本硬件和软件结构。采用了时域信号的取样积累平均方法,减少了算法的实现难度,提高了采样精度。对硬件设计中的关键技术进行了研究,系统具有设计精炼,可靠性高,开放性好等优点。基于DSP的现代高速数字处理飞控系统,能够赋予无人机更大的机动性、更高的灵活性和更广泛的适用性。     

动态因素对星敏感器测星影响的分析

在捷联惯导系统中,星敏感器直接固定在弹体上,在动态环境下工作.本文根据光学成像原理、快门速度和图像传感器上星点移动速度等,建立了动态条件下星敏感器所获星点光斑的数学模型.通过计算机仿真得出了曝光时间与动态星点像元能量最大值的关系、不同曝光时间下的动态星点定位精度.仿真结果表明,动态星点像元能量最大值不能随着曝光时间的延长始终增大,动态星点形变对星点定位精度的影响可以忽略.     

翱翔系列立方星的发展和展望

针对西北工业大学“翱翔”系列立方星在低成本、短周期、快响应的立方星技术方面的突破，介绍了应用于大气层外偏振导航技术试验的世界首颗12U立方星“翱翔之星”，世界首次组网开展低热层大气参数测量的QB50计划“翱翔一号”立方星等，总结了“翱翔”系列立方星的标准化结构设计、姿态控制系统、电源系统、星载计算机、通信与测控、部署器等核心系统的发展现状，介绍了自主研制的飞轮、磁力矩器、偏振敏感器载荷。并基于在轨组装，编队飞行，一箭多星等技术对“翱翔”系列立方星的应用进行了展望，对探索柔性、高精度、长寿命的立方星将有重要的意义。     

Land use/land cover classification using time series Landsat 8 images in a heavily urbanized area

It is of great significance to timely, accurately, and effectively monitor land use/cover in city regions for the reasonable development and utilization of urban land resources. The remotely sensed dynamic monitoring of Land use/land cover (LULC) in rapidly developing city regions has increasingly depended on remote-sensing data at high temporal and spatial resolutions. However, due to the influence of revisiting periods and weather, it is difficult to acquire enough time-series images with high quality at both high temporal and spatial resolution from the same sensor. In this paper we used the temporal-spatial fusion model ESTARFM (Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model) to blend Landsat8 and MODIS data and obtain time-series Landsat8 images. Then, land cover information is extracted using an object-based classification method. In this study, the proposed method is validated by a case study of the Changsha City. The results show that the overall accuracy and Kappa coefficient were 94.38% and 0.88, respectively, and the user/producer accuracies of vegetation types were all over 85%. Our approach provides an accurate and efficient technical method for the effective extraction of land use/cover information in the highly heterogeneous regions.     

固体火箭复合结构喷管传热的隐式计算方法

采用适用于多层复合结构的当量热容瞬态热传导方程,通过坐标变换解决多个移动边界问题,用ADI方法推导了二维隐式求解格式,在与烧蚀相耦合的情况下获得了复合结构喷管的温度分布。用隐式方法计算有效地减少了计算机时,对工程设计大有裨益。     

A 3D hybrid grid generation technique and a multigrid/parallel algorithm based on anisotropic agglomeration approach

A hybrid grid generation technique and a multigrid/parallel algorithm are presented in this paper for turbulence flow simulations over three-dimensional (3D) complex geometries. The hybrid grid generation technique is based on an agglomeration method of anisotropic tetrahedrons. Firstly, the complex computational domain is covered by pure tetrahedral grids, in which anisotropic tetrahedrons are adopted to discrete the boundary layer and isotropic tetrahedrons in the outer field. Then, the anisotropic tetrahedrons in the boundary layer are agglomerated to generate prismatic grids. The agglomeration method can improve the grid quality in boundary layer and reduce the grid quantity to enhance the numerical accuracy and efficiency. In order to accelerate the convergence history, a multigrid/parallel algorithm is developed also based on anisotropic agglomeration approach. The numerical results demonstrate the excellent accelerating capability of this multigrid method.     

Bayesian edge detector for SAR imagery using discontinuity-adaptive Markov random feld modeling

Synthetic aperture radar（SAR）image is severely affected by multiplicative speckle noise,which greatly complicates the edge detection.In this paper,by incorporating the discontinuityadaptive Markov random feld（DAMRF）and maximum a posteriori（MAP）estimation criterion into edge detection,a Bayesian edge detector for SAR imagery is accordingly developed.In the proposed detector,the DAMRF is used as the a priori distribution of the local mean reflectivity,and a maximum a posteriori estimation of it is thus obtained by maximizing the posteriori energy using gradient-descent method.Four normalized ratios constructed in different directions are computed,based on which two edge strength maps（ESMs）are formed.The fnal edge detection result is achieved by fusing the results of two thresholded ESMs.The experimental results with synthetic and real SAR images show that the proposed detector could effciently detect edges in SAR images,and achieve better performance than two popular detectors in terms of Pratt＇s fgure of merit and visual evaluation in most cases.