Simulation and Analysis of Electromagnetic Force in Laser Melting Deposition by Electromagnetic Impact

Magnetic field was introduced in laser melting deposition to reduce the pores in workpieces.Finite 3-D model of the coil-deposition layer-substrate was established.Simulation results show that the electromagnetic force in deposition layer mainly concentrates in the projection area of the coil.Axial electromagnetic force shows repulsion in one cycle.The experimental results indicate that the magnetic field is beneficial for grain refinement,microhardness increasement and decline of quantities and average sizes of pores.     

卫星交会的自主导航技术

论述卫星交会自主导航的飞行任务背景和概念 ,综述国内外学者正在进行探索研究的思路 ,以期引起国内学者的的注意、探讨和深入研究。     

自适应控制方法的直接命中目标本体的平行接近制导律

本文在最少量测条件下采用视线角速度ｑ趋于零的指标函数和低阶等效辨识模型与快速自适应控制方法实现了战术导弹的平行接近制导律。这种最优制导律可以实现直接命中目标本体，实现一弹多用，可以用于反导弹的控制。能使制导装置简化并使其尺寸和重量减小，算法简单易于工程使用。经过大量数学和半实物仿真试验表明，上述成果可应用于实际工程当中。     

液体远地点发动机工作期间卫星姿态的自适应控制

本文将全系数自适应控制方法用于带有液体晃动和挠性太阳帆板的三轴稳定地球同步轨道卫星在远地点发动机工作期间的姿态自适应控制。仿真结果表明,用全系数自适应控制方法设计的控制器,其动态性能好,对参数变化的适应性强,抗干扰能力强,鲁棒性好,性能指标完全满足设计要求。     

过失速飞机最速指向目标机动研究

基于飞机质点动力学模型建立了指向活动目标的终端条件,并进行最速指向机动动作的数值优化,其中用共轭梯度法寻优,用罚函数处理约束条件.计算结果表明,优化可以指导寻找对应于不同战术要求的有利机动过程;在近距空战中,具有快速改变航迹方向并进入过失速超大迎角机动的能力非常有利于快速指向目标、争取首攻机会,而改变航迹方向倾向于使用最大升力区迎角.     

固体发动机失效树定量分析法

根据固体火箭发动机失效树定量分析中确定底事件失效概率存在的困难,提出了确定底事件失效概率的工程方法——征求意见评分法。通过对某型号发动机试样阶段结构可靠性实例分析,得出了较满意的结果。     

DA4169合金高温疲劳裂纹扩展速率

实验研究了直接时效ＤＡ４１６９合金５５０℃、６５０℃下的疲劳裂纹扩展行为，并进行了带上峰值保持时间的试验。结果表明：连续循环的ｄａ／ｄＮ值基本上与普通４１６９的相当，但在６５０℃下略优；６５０℃带上峰值保时１５ｓ的ｄａ／ｄＮ值比连续循环的大大加速。     

高速滚子轴承运动特性的动态模拟

在高速轻载的工况下 ,滚子轴承的打滑蹭伤及由于滚子歪斜引起的滚子端面磨损已成为滚子轴承的主要失效原因。本文根据牛顿运动定律 ,建立了滚子的动力学模型 ,并对滚子轴承径向载荷分布和油膜拖动力的计算进行了详细讨论。利用本文所编制的软件 ,对滚子和保持架的打滑以及滚子的歪斜运动进行了动态模拟 ,得到与实际相符的结果 ,可用为实际轴承设计。     

细长体分离起始点的实验研究

本文实验研究了细长体模型在中等迎角下的初始分离问题。观察了不同头部形状的细长体在不同迎角下的分离流态。考察并分析了分离起始点的性质。观察到开式分离的存在,实验结果分析认为开式分离可以起始于正常点。此外,在钝头和尖头模型上都出现了螺旋点形式的头部涡。它们或是闭式分离的起始点,或是奇点型开式分离的起始点。     

Detection of small objects in clutter using a GA-RBF neural network

Detection of small objects in a radar or satellite image is an important problem with many applications. Due to a recent discovery that sea clutter, the electromagnetic wave backscatter from a sea surface, is chaotic rather than purely random, computational intelligence techniques such as neural networks have been applied to reconstruct the chaotic dynamic of sea clutter. The reconstructed sea clutter dynamical system which usually takes the form of a nonlinear predictor does not only provide a model of the sea scattering phenomenon, but it can also be used to detect the existence of small targets such as fishing boats and small fragments of icebergs by observing abrupt changes in the prediction error. We applied a genetic algorithm (GA) to obtain an optimal reconstruction of sea clutter dynamic based on a radial basis function (RBF) neural network. This GA-RBF uses a hybrid approach that employes a GA to search for the optimum values of the following RBF parameters: centers, variance, and number of hidden nodes, and uses the least square method to determine the weights. It is shown here that if the functional form of an unknown nonlinear dynamical system can be represented exactly using an RBF net (i.e., no approximation error), this GA-RBF approach can reconstruct the exact dynamic from its time series measurements. In addition to the improved accuracy in modeling sea clutter dynamic, the GA-RBF is also shown to enhance the detectability of small objects embedded in the sea. Using real-life radar data that are collected in the east coast of Canada by two different radar systems: a ground-based radar and a satellite equipped with synthetic aperture radar (SAR), we show that the GA-RBF network is a reliable detector for small surface targets in various sea conditions and is practical for real-life search and rescue, navigation, and surveillance applications