The role of AVDR in linear cascade testing

Linear cascade testing plays an important role in the research and development of turbomachinery and is widely used over the world.The ideal cascade model of a turbomachinery blade row is two-dimensional.In actual linear cascade testing, the flow through the test section converges due to the development of the boundary layer and secondary flow along the sidewall surfaces of the test section.Axial velocity density ratio(AVDR) is adopted to account for the deviation of the tested cascade flow from the ideal 2D model.Among numerous published cascade works, the influence of AVDR on cascade performance is seen to be complicated with many affecting factors, such as those related to cascade/blade geometry and flow conditions.Also, controlling AVDR is limited by the facility capability.Furthermore, real blade-to-blade flow in turbomachines is usually associated with AVDR greater than unity due to limited span of blades between the hub and shroud such that cascade testing without reducing AVDR could be favored sometimes.All these facets add complexity and diversification to the matter.The current paper reviews previous studies and results on AVDR.Consolidated understanding on the role of AVDR and recommendations on how to deal with it in linear cascade testing are provided.      

Development of a micro gas turbine combustor with T-type vaporizers

The study includes the experimental investigation of the evaporation performance of T-type vaporizer,mainly studied the relationship of the inlet air temperature and vaporizer wall temperature with the evaporation ratio.Then,it studied the LBO(lean blow out) and combustion efficiency of the micro aero-engine combustor with T-type vaporizer on the normal pressure test rig.The inlet air condition is environmental pressure and temperature.The gas analysis method is used to study the combustion efficiency,and the inlet air temperature is 300 K,400 K and 500 K.It could be concluded that the evaporation performance is improved with the increasing of the inlet air temperature and vaporizer wall temperature;the average LBO is 0.003;the combustion efficiency rises with the inlet air temperature,and it remain constant when the fuel/air ratio changed in the range from 0.008 to 0.02.The vaporization ratio is the key factor to determine the combustion performance.      

高超声速飞行器-进气道一体化热流数值计算

采用CFD(计算流体动力学)技术, 开展了飞行器前体/发动机一体化气动热环境分析.对层流区、转捩区和湍流区分别采用计算模型, 在湍流区利用压缩性修正的SSGZ-Jk-ε湍流模型, 在转捩区引入代数型转捩因子模型描述边界层由层流逐渐过渡为完全湍流的流动过程.计算了前体和内通道的表面热流, 并与实验结果进行了对比.结果表明所采用的计算方法可以较好地预测前体及发动机内通道热流率, 流动状态、几何结构及激波入射对热流值影响较大.      

计算涡扇发动机风车起动特性的辨识模型

针对高空风车条件下涡扇发动机起动性能估算问题, 提出了运用约简遗传规划算法进行模型结构自动选择的思路, 对基于约简遗传规划的风车起动模型进行了研究.以某型涡扇发动机为例, 运用该算法对给定条件下该型发动机的风车起动过程进行了建模仿真, 得到了起动过程的估算结果.将估算结果与试验数据对比, 验证了方法的正确性、可行性.      

无螺栓后挡板与叶片接触压力的分析

以有限元分析平台为基础, 寻求了涡轮和无螺栓挡板之间的过盈量与涡轮转速、无螺栓后挡板前后气体压力差、叶片对无螺栓挡板压力三者的变化规律.利用最小二乘法拟合出上述变化规律的方程, 通过涡轮与无螺栓挡板之间的变形协调关系, 归纳出转速、无螺栓后挡板前后气体压力差和无螺栓挡板能提供的压力这三者关系方程.      

PSE方法在后部加载叶栅绕流稳定性分析及转捩预测中的应用

采用数值求解与实验测量相结合的方法, 分析后加载叶栅绕流的稳定性并预测转捩.推导出正交曲线坐标系下三维扰动波的抛物化稳定性方程, 在风洞实验中测量叶栅叶片表面的静压分布, 并结合测量结果对设计叶栅的流动稳定性进行特征值分析.分析结果表明:(1)后加载叶型能有效推迟转捩, 提高叶栅的变冲角特性;(2)当冲角变化时叶顶流动稳定性的变化最显著, 负冲角流动稳定, 正冲角流动最不稳定.      

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.      

用FTIR光谱仪测量排气系统中红外光谱辐射强度的方法

通过理论分析及实验研究讨论了傅立叶变换红外(FTIR)光谱仪测量排气系统中红外光谱辐射强度过程中误差产生的原因, 设计了一套简易有效的测量方法.用此方法测量了黑体和热喷流的光谱辐射强度.结果表明:该测量方法能够有效地获得排气系统的中红外光谱辐射强度, 具有工程实用价值.      

轴对称推力矢量喷管载荷变形的控制补偿

研究了温度场和气动载荷联合作用下的轴对称矢量喷管出口面积和偏转角度误差的补偿问题.建立了扩张调节片位姿参数与其悬挂机构尺度之间的关系,导出了悬挂机构关节角位移增量与构件长度增量之间的微分方程,得到喷管出口面积误差和矢量偏转角误差与负载变形之间的解析表达式.利用矢量偏转角度和面积与轴对称矢量喷管转向驱动机构动平台位姿之间的关系,建立了受温度场和气动载荷联合作用下的动平台位姿补偿方程.研究表明,补偿后的矢量偏转角度和面积的相对误差不大于1%.      

基于粒子群神经网络的轮盘优化

将粒子群算法(PSO)和BP神经网络相结合, 构建了一种新型智能结构优化算法.PSO方法除用于结构优化外, 还被用于BP神经网络的构造及网络训练, 使之可自适应调整优化.结构优化中, 以BP神经网络取代有限元方法, 通过设计变量来映射目标函数和约束, 从而大大提高了计算速度.将此方法用于轮盘结构优化, 使得轮盘体积减少了17.5%, 结果通过检验.该方法便捷、高效, 为解决工程结构优化问题提供了一个新途径.