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Mistuning Identification Technique Based on Blisk Detuning
AIAA Journal ( IF 2.1 ) Pub Date : 2021-02-01 , DOI: 10.2514/1.j060209
Andrea Lupini 1 , Justin Shim 1 , Sarah Callan 1 , Bogdan I. Epureanu 1
Affiliation  

The structural dynamics of turbomachinery bladed disks is of paramount importance to ensure safety and reliability. Due to their sensitivity to mistuning (that is, any deviation from nominal properties), bladed disk vibrations encountered in practical applications can be significantly amplified. Thus, it is important to identify mistuning of as-manufactured blisks so that computational models can be updated to include mistuning and used to accurately characterize the behavior of blisks in operating conditions. Several mistuning identification techniques based on bench tests have been developed. This paper focuses on the techniques based on blade isolation through mass detuning and modal testing: methods that require a simple experimental setup. The typical shortcoming of these methods is that they rely on measured blade frequencies as a proxy for blade mistuning. However, as presented in this study, it is often impossible to completely isolate a blade from the neighboring ones using mass detuning; as a result, the measured frequencies do not represent the cantilevered blade frequencies that many reduced-order models use to model mistuning. This is especially true for blisks in which the blade-to-disk stiffness ratio is not negligible: a scenario that could become more and more prevalent as the trend to design thinner disks to reduce blisk mass continues. A technique based on modal testing that is able to accurately identify mistuning by appropriately capturing the effect of residual blade-to-blade and blade-to-disk coupling is introduced in this paper. A validation is carried out using an academic blisk model and surrogate data, and the results demonstrate that the proposed method outperforms the direct use of blade frequencies as proxies for mistuning.



中文翻译:

基于叶轮失谐的失谐识别技术

涡轮机械叶片盘的结构动力学对于确保安全性和可靠性至关重要。由于它们对雾化的敏感性(即与标称特性的任何偏差),可以大大放大实际应用中遇到的叶片盘振动。因此,重要的是要识别出已制造过的炸药的搅动,以便可以更新计算模型以包括搅动,并准确地表征工作条件下炸药的性能。已经开发了几种基于基准测试的误识别技术。本文重点介绍基于通过质量失谐和模态测试进行叶片隔离的技术:需要简单实验设置的方法。这些方法的典型缺点是它们依赖于测得的叶片频率作为叶片微动的代理。但是,如本研究所述,通常不可能通过质量失谐将刀片与相邻刀片完全隔离;结果,测得的频率并不代表许多降阶模型用来模拟模糊的悬臂叶片频率。对于叶片与磁盘的刚度比不可忽略的叶盘,尤其如此:随着设计更薄的磁盘以减少叶盘质量的趋势不断发展,这种情况可能会越来越普遍。本文介绍了一种基于模态测试的技术,该技术能够通过适当地捕获残留的叶片对叶片和叶片对磁盘耦合的影响来准确识别雾气。

更新日期:2021-02-01
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