首页> 外文会议>ASME Turbo Expo: Turbomachinery Technical Conference and Exposition >TURBINE CASCADE PROFILE LOSS SENSITIVITY TO INCOMING WAKE PARAMETERS: EFFECTS OF REDUCED FREQUENCY, WAKE MOMENTUM DEFECT AND AXIAL GAP
【24h】

TURBINE CASCADE PROFILE LOSS SENSITIVITY TO INCOMING WAKE PARAMETERS: EFFECTS OF REDUCED FREQUENCY, WAKE MOMENTUM DEFECT AND AXIAL GAP

机译:涡轮级联轮廓损失对唤醒参数的敏感性:降低的频率,唤醒动量缺陷和轴向间隙的影响

获取原文
获取外文期刊封面目录资料

摘要

In the present work the profile losses of a highly loaded low pressure turbine cascade, operating under realistic unsteady conditions, have been measured for different incoming wake parameters. A moving bar system has been used for wake generation, allowing the variation of bar diameter, bar count and axial gap between the bars and the cascade leading edge. The overall test matrix spans three different bar diameters, three different reduced frequencies and two axial gaps, for a total of 18 different conditions tested. For each of them, the time-dependent cascade inflow has been characterized by means of phase-locked hot-wire measurements in order to determine the effects of the wake parameter modification on the turbulence intensity peak and on the incoming wake momentum deficit, that are well known to affect the generation of losses in the downstream cascade. The procedure recently developed by the authors based on the simultaneous acquisition of the signals of two kiel probes, located upstream and downstream of the cascade, has been used to accurately quantify the profile losses for each condition, identifying the contribution due to the wake bowing, tilting and dilation process into the cascade channel and that due to the wake-boundary layer interaction. Additionally, Proper Orthogonal Decomposition (POD) has been applied to the ensemble data matrix constructed from the loss coefficient distributions in the pitchwise direction, measured for the different conditions, with the aim of highlighting the loss trend vs the design space parameter variation. The POD modes obtained from the cross-correlation matrix provide a direct information on the flow region where losses are prevalently produced, while the corresponding POD coefficients give the weight of each parameter in the loss generation. The paper shows the potentiality of this procedure in providing a rapid identification of the main causes of losses, and the dominant parameter affecting the process of loss generation.
机译:在本工作中,针对不同的传入唤醒参数测量了在现实不稳定条件下操作的高负载低压涡轮机级联的轮廓损耗。移动杆系统已被用于唤醒生成,允许条形直径,杆数和条之间的轴向间隙和级联前缘之间的变化。整体测试矩阵跨越三个不同的条形直径,三种不同的频率和两个轴向间隙,总共有18种不同的条件。对于它们中的每一个,时间依赖的级联流入是通过锁相热线测量的方式表征,以便确定Wake参数修改对湍流强度峰值和进入的尾迹动量缺陷的影响。众所周知,影响下游级联的损失产生。基于同时采集的作者最近由级联和下游的两个基准探针的信号进行了最近的程序,已经用于精确量化每个条件的轮廓损耗,识别由于唤醒弯曲而造成的贡献,倾斜和扩张过程进入级联通道,并且由于唤醒边界层相互作用。另外,适当的正交分解(POD)已经应用于从俯视方向上的损耗系数分布构成的集合数据矩阵,以针对不同的条件测量,目的是突出损耗趋势Vs设计空间参数变化。从互相关矩阵获得的POD模式提供了关于流动区域的直接信息,其中相应的POD系数给出丢失生成中的每个参数的权重。本文显示了该程序的潜力在提供损失主要原因的快速识别方面,以及影响丢失过程过程的主要参数。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号