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

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
K. Yuan, W.D. Zhu
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引用次数: 2

Abstract

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.

三维连续扫描激光多普勒测振仪系统用于随机激励下具有曲面的涡轮模型叶片模态参数辨识
利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,采用扩展解调方法(EDM)识别了白噪声激励下曲面涡轮叶片的模态参数。所提出的通用系统经过校准,可以沿着相同的扫描轨迹同步连续地移动叶片曲面上的三个激光点,并捕捉其三维振动。EDM用于估计其阻尼固有频率(DNF)和三维全场无阻尼振型。将识别的模态参数与商业3D扫描激光多普勒振动计(SLDV)系统的模态参数进行比较。前六个DNF之间的差异小于1.5%;它们的前六种模态形状高度相关,因为它们的模态保证标准值都超过95%。然而,3D CSLDV系统在获得叶片的3D模式形状方面比3D SLDV系统具有高得多的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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