涡轮机械叶片振动振幅的量化

IF 1.3 Q2 ENGINEERING, AEROSPACE International Journal of Turbomachinery, Propulsion and Power Pub Date : 2024-03-04 DOI:10.3390/ijtpp9010010
Alexandra P. Schneider, B. Paoletti, X. Ottavy, C. Brandstetter
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引用次数: 0

摘要

涡轮机械叶片振动的实验监测通常基于安装在叶片上的应变片。其信号用于得出振动幅度,并与模态范围限制(包括安全系数)进行比较。根据工业准则,该系数的选择比较保守,以确保机器的安全运行。在对现代轻型超高旁路比(UHBR)结构具有代表性的 ECL5/CATANA 开放式复合风机进行的实验活动中,进行了接近稳定性极限的测量。对非同步振动(NSV)和旋转失速等现象的研究需要接近稳定性极限,因此需要对振动振幅进行精确(实时)量化,以确保安全运行,而无需用尽安全系数。以往使用的是振动传感器的短时傅里叶变换,但上述耦合现象的复杂性质会影响振幅精度,这取决于评估参数,如之前使用快速响应壁压传感器进行的研究所示。本研究调查了不同频谱分析方法的叶片振动数据对评估参数的敏感性,并为快速、稳健地监测关键振动模式提供了指导。
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Quantification of Blade Vibration Amplitude in Turbomachinery
Experimental monitoring of blade vibration in turbomachinery is typically based on blade-mounted strain gauges. Their signals are used to derive vibration amplitudes which are compared to modal scope limits, including a safety factor. According to industrial guidelines, this factor is chosen conservatively to ensure safe operation of the machine. Within the experimental campaign with the open-test-case composite fan ECL5/CATANA, which is representative for modern lightweight Ultra High Bypass Ratio (UHBR) architectures, measurements close to the stability limit have been conducted. Investigation of phenomena like non-synchronous vibrations (NSV) and rotating stall require a close approach to the stability limit and hence demand for accurate (real-time) quantification of vibration amplitudes to ensure secure operation without exhaustive safety margins. Historically, short-time Fourier transforms of vibration sensors are used, but the complex nature of the mentioned coupled phenomena has an influence on amplitude accuracy, depending on evaluation parameters, as presented in a previous study using fast-response wall-pressure transducers. The present study investigates the sensitivity of blade vibration data to evaluation parameters for different spectral analysis methods and provides guidelines for fast and robust surveillance of critical vibration modes.
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来源期刊
CiteScore
2.30
自引率
21.40%
发文量
29
审稿时长
11 weeks
期刊最新文献
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