Identification of modal parameters of a model turbine blade with a curved surface under random excitation with a three-dimensional continuously scanning laser Doppler vibrometer system
Identification of modal parameters of a model turbine blade with a curved surface under random excitation with a three-dimensional continuously scanning laser Doppler vibrometer system
复制标题
三维连续扫描激光多普勒测振系统识别随机激励下曲面模型涡轮叶片模态参数
DOI：
10.1016/j.measurement.2023.112759
复制
发表时间：
2023
期刊：
影响因子：
5.6
通讯作者：
Zhu, W.D.
中科院分区：
文献类型：
--
作者：
Yuan, K.;Zhu, W.D.
采用一种新型的通用三维连续扫描激光多普勒测振仪(CSLDV)系统，采用扩展解调法(EDM)对白噪声激励下的涡轮模型叶片进行了模态参数识别。所提出的通用系统被校准为沿同一扫描轨迹在叶片曲面上同步且连续地移动三个激光光斑，并捕捉其三维振动。EDM用于估计其衰减固有频率和三维全场无阻尼模的形状。将识别出的振型参数与商用三维扫描激光多普勒测振仪(SLDV)的振型参数进行比较。它们的前六个振型之间的差异小于1.5%；它们的前六个振型高度相关，因为它们的模态保证标准值都超过95%。然而，3D CSLDV系统在获取叶片三维振型方面比3D SLDV系统具有更高的效率。
Modal parameters of a model turbine blade with a curved surface excited by white noise are identified by a novel general-purpose 3D continuously scanning laser Doppler vibrometer (CSLDV) system via an extended demodulation method (EDM). The proposed general-purpose system is calibrated to synchronously and continuously move three laser spots on the curved surface of the blade along the same scan trajectory and capture its 3D vibrations. The EDM is used to estimate its damped natural frequencies (DNFs) and 3D full-field undamped mode shapes. Identified modal parameters are compared with those from a commercial 3D scanning laser Doppler vibrometer (SLDV) system. Differences between their first six DNFs are less than 1.5%; their first six mode shapes are highly correlated as their modal assurance criterion values all exceed 95%. However, the 3D CSLDV system has much higher efficiency in obtaining 3D mode shapes of the blade than the 3D SLDV system.