首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering >Numerical and experimental research of stall inception on subsonic axial-flow compressor rotor
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Numerical and experimental research of stall inception on subsonic axial-flow compressor rotor

机译:亚音速轴流压气机转子失速开始的数值与实验研究

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Three-dimensional flow simulation and blade tip high-response static pressure measurements were performed on an isolated subsonic compressor rotor to gain more insight into the stall inception mechanism of the compressors. The Navier–Stokes solver, EURANUS, was used for computation. The steady-state flow solution was achieved at the convergence of a four-stage explicit Runge–Kutta integration scheme. The time-dependent calculation was implemented in the implicit dual time stepping scheme, which allowed for the solution of a steady-state problem at each physical time step. The high-response static pressure was measured using five Kulite sensors installed on the casing. The data acquisition frequency was 100 kHz. The recorded data were later analysed using wavelet analysis method. Correlating the simulation result and the measurement result, it was shown that as the compressor was approaching the near stall (NS) condition, the tip leakage vortex dissipation and shedding became violent. The shedding or dissipated flow structures would consequently scatter around the blade tip passage, which formed the initial onset of stall disturbances. These scattered vortexes would finally lead to compressor stall as they hit and merge with each other into low-frequency disturbance of significant size and energy. A stall pre-alarming method based on the monitoring of the low-frequency spectrum power at the NS condition was also suggested by this study.
机译:在隔离的亚音速压缩机转子上进行了三维流动仿真和叶尖高响应静压测量,以更深入地了解压缩机的失速启动机理。 Navier-Stokes求解器EURANUS用于计算。稳态流解决方案是通过四阶段显式Runge-Kutta集成方案的收敛获得的。时间相关的计算是在隐式双重时间步长方案中实现的,该方案允许在每个物理时间步长处解决稳态问题。使用安装在外壳上的五个Kulite传感器测量了高响应静压。数据采集​​频率为100 kHz。记录的数据随后使用小波分析方法进行分析。将模拟结果与测量结果进行对比,结果表明,随着压缩机接近接近失速状态,叶尖泄漏涡流消散和脱落变得剧烈。结果,流失或消散的流动结构将在叶片尖端通道周围散布,这形成了失速扰动的初始发作。这些分散的涡流最终撞击并相互融合,形成大小和能量都很大的低频扰动,最终导致压缩机失速。该研究还提出了一种基于NS条件下的低频频谱功率监测的失速预报警方法。

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