Blade bowing effects on radial equilibrium of inlet flow in axial compressor cascades

The circumferentially averaged equation of the inlet flow radial equilibrium in axial compressor was deduced.It indicates that the blade inlet radial pressure gradient is closely related to the radial component of the circumferential fluctuation (CF) source item.Several simplified cascades with/without aerodynamic loading were numerically studied to investigate the effects of blade bowing on the inlet flow radial equilibrium.A data reduction program was conducted to obtain the CF source from three-dimensional (3D) simulation results.Flow parameters at the passage inlet were focused on and each term in the radial equilibrium equation was discussed quantitatively.Results indicate that the inviscid blade force is the inducement of the inlet CF due to geometrical asymmetry.Blade bowing induces variation of the inlet CF,thus changes the radial pressure gradient and leads to flow migration before leading edge (LE) in the cascades.Positive bowing drives the inlet flow to migrate from end walls to mid-span and negative bowing turns it to the reverse direction to build a new equilibrium.In addition,comparative studies indicate that the inlet Mach number and blade loading can efficiently impact the effectiveness of blade bowing on radial equilibrium in compressor design.     

一种马桶冲水阀封严涂胶装置的设计

针对故障率较高的马桶冲水阀组件（件号为14330-230）封严安装过程中涂胶步骤的技术难点，设计了以内外齿传动机构及丝杆传动机构为主要结构的涂胶装置，经过对各运动模块的分析，验证了该装置的可行性，为类似装置的设计提供了思路。     

圆弧型线指尖密封结构的形成方法和迟滞性能分析

对圆弧型线指尖密封结构的形成方式进行了分析和研究,在此基础上采用有限元技术对圆弧型线指尖密封结构的迟滞性能进行了计算分析。计算结果表明:在相同的展开角范围内,2种圆弧型线指尖密封结构的迟滞性能要优于对数螺线指尖密封结构的迟滞性能,圆弧型线弧长较短的指尖密封结构的迟滞性表现更优。     

扁平型外转子混合磁悬浮飞轮动力学分析

针对扁平型外转子磁悬浮飞轮,考虑轴向被动悬浮刚度影响,采用理论模型与数值模拟相结合的方法,对系统静态悬浮和稳定旋转两种工况下的动力学特性进行了研究.结果表明,静态悬浮时,轴向刚度的变化对径向摆动固有频率影响明显,径向刚度的变化主要影响系统径向刚体平动固有频率,振型交换区内系统振型为转子刚体平动与摆动的叠加;稳定旋转时,轴向刚度的变化主要影响低速圆锥涡动频率,径向刚度的变化主要影响圆柱涡动频率.     

可控式液体润滑高速螺旋槽端面密封试验

研制了电磁加载装置和摩擦力矩测试装置,并将其应用于液体润滑的螺旋槽端面密封试验中.试验研究了端面密封坝处液膜特性、端面温升、端面摩擦力等密封性能参数以及端面闭合力对密封性能的影响.试验结果表明,密封坝处压力随转速的增加而增加,当转速较大时,端面的温升也较高.端面密封在液膜润滑下具有较小的摩擦力.利用电磁加载装置和摩擦力...     

高负荷离心压气机扩压器叶片前缘结构分析

为拓宽离心压气机稳定工作范围,以某高负荷离心压气机为研究对象,对径向扩压器叶片前缘进行盘侧开槽处理,借助数值模拟手段,探讨了开槽处理对离心压气机性能和稳定工作范围的影响,并对开槽结构进行了参数化研究,确定了主要开槽参数对离心压气机的影响.数值计算表明,径向扩压器前缘盘侧开槽能够在一定程度上提高离心压气机的稳定工作裕度,但同时伴随着压气机性能的降低.详细对比分析了开槽结构引人前后离心压气机内部流场结构,揭示了径向扩压器叶片前缘开槽提高离心压气机稳定工作裕度机理.     

高温基线密封研究进展

介绍了高温基线密封的使用需求、结构和材料选择、设计、模拟分析以及试验装置的发展;并结合具体的使用背景,以Shuttle orbiters和X-38上使用的控制面基线密封件为例,介绍了NASA在研制高温基线密封金属弹簧管的过程中,高温金属弹簧管的材料选择、结构设计和性能测试.     

飞机用O型橡胶密封圈测绘与设计

介绍了飞机用O型橡胶密封件测绘与设计的必要性及其具体的测绘要求、测量工具和测量方法,提出了适用的O型橡胶密封件的结构尺寸设计方案。     

运载火箭推力故障下基于智能决策的在线轨迹重规划方法

为了提高运载火箭上升段飞行中推力故障下轨迹重规划的计算效率,提出了一种基于智能决策的在线轨迹重规划方法,将原问题转化为最优救援轨道的在线智能决策和成熟的燃料最优轨迹规划问题进行求解。通过离线求解不同故障状态对应的轨迹重规划问题,建立"故障状态-救援轨道"样本集,基于径向基神经网络建立最优救援轨道的决策模型,并将决策模型装订箭上。在实际飞行中以当前故障状态作为输入,利用决策模型可在线快速决策出最优救援轨道根数,进而求解以救援轨道为目标轨道的燃料最优轨迹规划问题,从而完成推力故障下的在线轨迹重规划。数值仿真表明,与直接求解轨迹重规划问题相比,该方法的计算效率提高了两个数量级以上,同时给出一致的最优救援轨迹。     

Forecasting the geomagnetic activity of the Dst index using multiscale radial basis function networks

The Dst index is a key parameter which characterises the disturbance of the geomagnetic field in magnetic storms. Modelling of the Dst index is thus very important for the analysis of the geomagnetic field. A data-based modelling approach, aimed at obtaining efficient models from limited input–output observational data, provides a powerful tool for analysing and forecasting geomagnetic activities including the prediction of the Dst index. In this study, the process of the Dst index is treated to be a structure-unknown system, where the solar wind parameter (VBs) and the solar wind dynamic pressure (P) are the system inputs, and the Dst index is the system output. A novel multiscale RBF (MSRBF) network is introduced to represent such a two-input and single-output system, where the Dst index is related to the solar wind parameter and the dynamic pressure, via a hybrid network model consisting of two submodels: a linear part that reflects the linear relationship between the output and the inputs, and a nonlinear part that captures the effect of the interacting contribution of past observations of the inputs and the output, on the current output. The proposed MSRBF network can easily be converted into a linear-in-the-parameters form and the training of the linear network model can easily be implemented using a forward orthogonal regression (FOR) algorithm. One advantage of the new MSRBF network, compared with traditional single scale RBF networks, is that the new network is more flexible for describing complex nonlinear dynamical systems.