基于涡识别算法的混流式水轮机尾水管非设计工况流场研究

Sandeep Kumar, S. Khullar, B. Gandhi
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引用次数: 0

摘要

在非设计运行中,混流式涡轮机中观察到流动不稳定,如漩涡破裂,逆流和停滞区。本文采用涡识别算法对混流式水轮机在两种不同部分负荷下的流场进行了数值研究。通过提取模拟过程中不同时间步长的速度场,对尾水管内不同位置进行了分析。第一个工作点涉及到尾水管中一个完全发达的旋转涡绳(RVR),其以转轮旋转的0.28倍的频率进行加工。该算法能够沿偏心的局部旋转中心识别区域。第二工况在尾水管流场中表现为中心实体旋转的深部载荷特征。结果表明,在极低的轴向速度下存在高旋流。流动主要被限制在壁面附近。分析表明,与部分荷载作用相比,深层荷载作用下的滞止区范围更大,且不存在内剪切层。对压力数据进行空间谐波分解(SHD),分析压力脉动的同步分量和异步分量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flow Field Investigation in Draft Tube of Francis Turbine at Off-Design Operation Using a Vortex Identification Algorithm
At off-design operations, flow instabilities such as vortex breakdown, reverse flows, and stagnant regions are observed in Francis turbines. The present work shows the numerical flow field investigations of a Francis turbine at two different part loads (PL) by employing a vortex identification algorithm. The analysis has been performed at various locations in the draft tube by extracting the velocity fields at different time steps of the simulation. The first operating point involves a fully developed rotating vortex rope (RVR) in the draft tube, which precesses at a frequency of 0.28 times of the runner rotation. The present algorithm is able to identify the regions along with the eccentric local rotation center. The second operating regime shows characteristics of deep part load with central solid body rotation in the draft tube flow field. The results show highly swirling flows with very low axial velocity. The flow is confined primarily near the walls. The analysis shows that the extent of stagnation region at deep part load is more and no inner shear layer is present as compared to the part-load operation. The spatial harmonic decomposition (SHD) of the pressure data is also performed to evaluate the synchronous and asynchronous components of pressure pulsations.
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