合成射流激励器流场PIV实验及模态分析

Synthetic Jet Actuator PIV Experiments and Modal Analysis

关键词:  合成射流  相位延迟  粒子图像测速  本征正交分解  动力学模态分解

Key words:  Synthetic jet  Phase delay  Particle image velocimetry  Proper orthogonal decomposition  Dynamic mode decomposition

摘要:

为了获得合成射流激励器流场细节特性，优化合成射流流动控制系统，对于静止流场中的合成射流激励器，通过位移传感器、热线风速仪和时间分辨粒子图像测速（TR-PIV）系统，对激励器时间响应和特定工况下的流场特性进行研究，并针对TR-PIV得到的流场快照运用本征正交分解（POD）和动力学模态分解（DMD）进行模态分析。通过自定义POD和DMD的初值贡献模态和时间系数将两种分析模型标准化并对比，选取前七阶POD模态和前四阶DMD模态进行流场还原，成功表征了原流场的主要信息，表明运用POD和DMD方法进行的降阶过程在合成射流研究中的适用性，降阶模型可以有效指导和简化合成射流流动控制流场的分析过程。

Abstract:

To obtain the detailed characteristics of synthetic jet actuator （SJA） flow field and optimize the SJA flow control system， displacement sensor， hot wire anemometer and TR-PIV system are used to study the SJA properties and the flow field characteristics in two typical working conditions in the static flow field. The flow field snapshots captured by TR-PIV are modality analyzed by POD and DMD methods， which are standardized and compared by the initial value contribution modal and time coefficients. The snapshot sequence obtained by the first seven-order POD mode and the first four-order DMD mode successfully characterize the main information of the original flow field. It shows that the DMD and POD methods are applicable in the SJA flow field research and the reduced-order model can effectively simplify the analysis of the flow field.