动态模态分解
涡轮机
空化
模式(计算机接口)
流量(数学)
比转速
材料科学
相(物质)
分解
控制理论(社会学)
机械
声学
计算机科学
工程类
机械工程
物理
离心泵
叶轮
化学
人工智能
有机化学
操作系统
控制(管理)
量子力学
作者
Yanzhao Wu,Di Zhu,Ran Tao,Ruofu Xiao,Weichao Liu
标识
DOI:10.1016/j.est.2022.106107
摘要
Cavitation is an inevitable and important problem in the design, manufacture and operation of pump-turbine. The research on cavitation of pump-turbine is mainly focused in the pump mode, but the cavitation characteristics of turbine mode are also very important. Traditional research methods are unable to dig a large amount of research data in cavitation flow. Therefore, the dynamic mode decomposition (DMD) method is used in this study to investigate the incipient cavitation and critical cavitation of a model pump-turbine. The results show that the DMD method can accurately extract the characteristics of the runner in pump mode under cavitation conditions. The development of cavitation makes the mode decomposition of the two-phase flow field and the reconstruction of the low order modes significantly different. DMD method is more suitable for signals with clear frequency and simple mean value and pulsation. The development of cavitation makes the reconstruction of low order modes change obviously, from the inception cavitation condition of first waveform reconstruction and then mean-value reconstruction to the critical cavitation condition of first mean-value reconstruction and then waveform reconstruction. It provides a new research idea for cavitation research of pump-turbine. • The characteristics of pump-turbine in turbine mode under cavitation condition are extracted by DMD method. • The influence of cavitation development on the effect of DMD mode decomposition method is clarified. • The applicability of DMD method to different cavitation flow field signals is clarified.
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