基于微型剪应力传感器阵列的边界层分离点测定方法研究

结合边界层分离点附近的剪应力变化规律,提出了针对在飞行器外表面贴附微型传感器的分离点检测方法,并给出了相应微型剪应力传感器阵列的设计方案.研究了2种针对一维剪应力传感器阵列输出电压信号的处理方法,即均值差极大值方法和均方根差分极大值方法,并结合实验数据对上述2种判别算法进行了仿真计算和抗干扰性分析,结果验证了其有效性和准确性.     

歼击机座舱工效学评价指标权重系数的确定

提出采用G₁法确定歼击机座舱工效学评价指标的权重系数,利用该方法针对歼击机座舱工效学评价指标体系中的部分指标,按其对飞行员操作工效影响程度大小的原则,对聘请的飞过多种型号歼击机的24名现役有经验飞行员进行了调查,依据调查结果计算出了指标的权重系数。并对依据不同专家个数计算出的结果进行了比较分析,当专家人数达到一定个数时,计算结果处于稳定状态,揭示了计算结果的可靠性。该结果可为歼击机座舱工效学的设计提供重要指导作用。     

航空发动机机载实时自适应模型研究

航空发动机的性能蜕化会导致其可测参数的变化,因此传感器测量参数偏离正常工作情况下的变化量,可以表征发动机的性能蜕化程度。文中首先建立了包含发动机性能蜕化因素的状态变量模型,并将性能蜕化参数作为增广的状态变量,设计了卡尔曼滤波器,从而可以根据可测的输出偏离量经滤波器状态估计得到发动机性能蜕化值,最后将性能蜕化值用于状态变量模型中不可测参数的修正,从而使机载模型适应发动机的非额定工作状况。     

基于神经网络的航天器GPS/INS组合定姿系统

基于GPS和惯性技术的组合导航系统是近年来导航系统的研究热点和主要发展方向.目前基于卡尔曼滤波方法的算法在稳定性、计算量、算法鲁棒性以及系统可观测性等方面仍然存在问题.基于神经网络技术研究了一种新的GPS/INS组合定姿自适应卡尔曼滤波方法,理论分析表明,该方法不但对姿态信息具有较好的估计性能,而且对系统模型的精确性、噪声特性具备良好的鲁棒性.最后,利用模拟数据对所研究算法进行了分析计算,与传统的卡尔曼滤波方法进行了比较、分析,结果表明所设计组合算法在精度、稳定性以及鲁棒性等方面较传统卡尔曼方法具有良好的特性.     

Investigation on the Hydro-forming of SUS304 Stainless Steel Dome

The dome hydro-forming was studied theoretically and experimentally. The theoretical analysis shows that the process of dome hydro-forming can be divided into two stages, i.e., firstly forming a hemi-sphere and secondly forming a hemi-toroidal. Theoretically, being larger than those in the outer area of a hemi-toroidal shell, the radial tensile stresses take place in the inner area where fracture is more likely to occur in the forming process. The required hydraulic pressure to form the dome should be determined by the deformation in the outer area, hitting about 12 MPa in theory. The experimental results show that the dome could be produced in one operation by hydro-forming which needs a hydraulic pressure of about 9 MPa. The experimental results prove to agree well with the theoretical analysis. In order to avoid wrinkling and fracture, the closing force acted on the die should be adjusted properly in accordance with the hydraulic pressure.     

Optimal assimilation for ionospheric weather – Theoretical aspect

Observation, specification and prediction of ionospheric weather are the key scientific pursuits of space physicists, which largely based on an optimal assimilation system. The optimal assimilation system, or commonly called data assimilation system, consists of dynamic process, observation system and optimal estimation procedure. We attempt to give a complete framework in this paper under which the data assimilation procedure carries through. We discuss some crucial issues of data assimilation as follows: modeling a dynamic system for ionospheric weather; state estimation for static or steady system in sense of optimization and likelihood; state and its uncertainty estimation for dynamic process. Meanwhile we also discuss briefly the observability of an observation system; system parameter identification. Some data assimilation procedures existed at present are reviewed in the framework of this paper. As an example, a second order dynamic system is discussed in more detail to illustrate the specific optimal assimilation procedure, ranging from modeling the system, state and its uncertainty calculation, to the quantitatively integration of dynamic law, measurement to significantly reduce the estimation error. The analysis shows that the optimal assimilation model, with mathematical core of optimal estimation, differs from the theoretical, empirical and semi-empirical models in assimilating measured data, being constrained by physical law and being optimized respectively. The data assimilation technique, due to its optimization and integration feature, could obtain better accurate results than those obtained by dynamic process, measurement or their statistical analysis alone. The model based on optimal assimilation meets well with the criterion of the model or algorithm assessment by ‘space weather metrics’. More attention for optimal assimilation procedure creation should be paid to transition matrix finding, which is usually not easy for practical space weather system. High performance computing hardware and software studies should be promoted further so as to meet the requirement of large storage and extensive computation in the optimal estimation. The discussion in this paper is appropriate for the static or steady state or transition process of dynamic system. Many phenomena in space environment are unstable and chaos. So space environment study should include and integrate these two branches of learning. This revised version was published online in August 2006 with corrections to the Cover Date.     

应用复合型网格求解叶栅气动设计杂交型问题

建立在流线坐标系上的叶栅气动设计反命题与杂交命题是在映象平面(由流线坐标与周向坐标构成H上求解的.以往在映像平面只采用H型网格,本文首次将H加C型复合网格用于这类反命题计算,使叶栅前缘附近网格构造趋于合理,从而明显提高了计算精度.本文采用的解法是基于叶轮机气动变分原理的有限元方法.     

叶片正弯曲对压气机叶栅叶片表面流动的影响

为了研究叶片正弯曲对压气机叶栅气动性能的影响,对具有可控扩散叶型(CDA)的直叶片和正弯曲25°叶片平面叶栅进行了实验研究和数值模拟,获得了两种叶栅叶片表面流场显示结果以及不同冲角下叶片表面静压系数的分布。结果表明,叶片正弯曲对其吸力面流动影响较大,吸力面近出口处两端的径向二次流区相比于直叶栅而言明显增加。正弯曲叶片吸力面形成"C"型压力分布,叶片负荷沿叶高和弦长重新分布,这种负荷的重组是弯曲改变叶栅流场的主要因素。     

二维C/C复合材料高温力学、热物理性能研究

研究了二维C/C(2D -C/C)复合材料在高温下层剪强度、弯曲强度和模量、热导率和线膨胀系数的变化规律。结果表明 ,所制得的 2D -C/C复合材料的层剪强度随温度的升高变化不大、弯曲强度随测试温度的升高而增加 ;2 0 0 0℃的层剪强度、弯曲强度分别达到 1 4 .8MPa和 2 2 7.4MPa ,较室温分别提高了9.6 %和 6 0 %。弯曲模量在 1 0 0 0℃时增加到 39.4GPa ,在 2 0 0 0℃则下降 ,低于室温数值。 2D -C/C复合材料的热导率、线膨胀系数在z向和x -y向都具有明显的各向异性。未石墨化 2D -C/C复合材料 2 0 0℃的z向热导率是 4 .4 1W / (m·K) ,且随温度的升高而增加 ;而石墨化 2D -C/C复合材料 2 0 0℃的z向、x -y向热导率分别是 1 8.0 2W / (m·K)和 73.2 9W / (m·K) ,随温度的升高而下降。 2D -C/C复合材料在z向的线膨胀系数较大 ,80 0℃以内在 8× 1 0 - 6 /K～ 1 0× 1 0 - 6 /K之间 ;而在x -y向线膨胀系数在 80 0℃以内都很小 ,基本上接近于零     

飞/推综合控制模式亚声速半物理仿真试验

飞/推综合控制考虑飞机和发动机之间的性能耦合，彼此进行信息的综合，从整体最优的设计出发，充分发挥飞机和发动机的性能潜力，提高飞机性能。为了验证飞/推综合控制模式的性能效益，提出并开展了该控制模式在亚音速下的半物理仿真试验的研究，结果表明：在平飞加速工况下，采用最大推力模式，可提高发动机推力约9％；在亚音速巡航时，采用最小油耗模式，可节省单位油耗约1．5％。