An improved mistuning identification and dynamic strain prediction method for rotating blades with application of blade tip timing technology
An improved mistuning identification and dynamic strain prediction method for rotating blades with application of blade tip timing technology
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应用叶尖正时技术的改进旋转叶片失调识别和动态应变预测方法
DOI：
10.1016/j.ymssp.2022.109684
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发表时间：
2022
影响因子：
8.4
通讯作者：
Chen Yugang
中科院分区：
文献类型：
--
作者：
Fan Zhenfang;Li Hongkun;Dong Jiannan;Wei Daitong;Cao Hongwei;Chen Yugang
叶尖正时 (BTT) 是旋转叶片振动监测最有效的技术。整体叶盘的动态特性和受迫响应研究对于叶片振动问题至关重要，具有深远的意义。一般的失谐识别技术需要对整个叶片盘进行实验测试和数值求解。针对BTT技术能够识别叶片模态特性的特点，提出一种基于叶片固有频率偏差的失谐识别方法，实现了失谐叶盘的失谐定量评价和模型在线更新。数值分析和实验研究证明，改进的失谐识别方法能够达到准确合理的结果，特别是在以叶片振动为主的模态下。此外，基于基本失谐模型（FMM）的三个假设，定义了一个附加条件：孤立模态族中叶片的模态应变能比例可以被认为是相同的。该研究揭示了叶片应变与叶片振动之间的关系，并提出了一种改进的动态应变预测方法，用于实现叶片应变的非接触测量。数值分析表明动应变预测误差小于3%。两次实验测试表明，动态应变的预测结果与基于FMM和BTT的非接触动态应力测量（FB-NDSM）方法一致，预测结果的最大误差相对于FB-NDSM方法参考值小于2%，在实际应用中是可以接受的。应用BTT技术改进的失谐识别和动态应变预测方法对于叶盘的动态特性研究和健康管理具有重要意义，极大地促进了BTT技术在大型旋转机械叶片振动监测中的应用。
Blade tip timing (BTT) is the most effective technique for vibration monitoring of rotating blades. The research of dynamic characteristics and forced responses of the blisk is crucial to the matters of blade vibration with far-reaching significance. The general mistuning identification techniques require experimental tests and numerical solutions of the whole bladed disk. Since the feature of the BTT technique can identify the modal properties of blades, this paper proposed a blade natural frequency deviation-based mistuning identification method, which achieves the mistuning quantitative evaluation and the model online update of mistuned blisk. Numerical analysis and experimental investigations prove that the improved mistuning identification method can reach accurate and reasonable results, especially in the mode dominated by blade vibration. Furthermore, based on the three assumptions of the fundamental mistuning model (FMM), an additional condition was defined:The mode strain energy proportions of the blade in the isolated modal family can be believed identical.This study revealed the relationship between blade strain and blade vibration, and an improved dynamic strain prediction method for the implementation of non-contact measurement of blade strain was proposed. The numerical analysis shows the prediction error of dynamic strain is less than 3%. Two experimental tests reported that the prediction results of dynamic strain are consistent with the FMM and BTT-based non-contact dynamic stress measurement (FB-NDSM) method, and the maximum error of prediction results is less than 2% about a FB-NDSM method reference, which is acceptable in practical applications. Improved mistuning identification and dynamic strain prediction method with the application of BTT technology are attractive for the dynamic characteristic study and health management of the bladed disk, which significantly promotes the application of BTT technology in blade vibration monitoring of large-scale rotating machinery.
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