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

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 demod-ulation 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.

Automated summary

Modal parameters of a model turbine blade with a curved surface excited by white noise are identified using a novel general-purpose 3D continuously scanning laser Doppler vibrometer system. The system calibrates and synchronously moves three laser spots on the curved surface to capture the blade's 3D vibrations. An extended demodulation method is used to estimate its damped natural frequencies and 3D full-field undamped mode shapes. The identified modal parameters are compared with a commercial 3D scanning laser Doppler vibrometer system, showing small differences in the first six damped natural frequencies and highly correlated mode shapes. However, the 3D CSLDV system has higher efficiency in obtaining 3D mode shapes of the blade compared to the 3D SLDV system.