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首页> 外文期刊>Journal of Engineering for Gas Turbines and Power >Testing and Calibration Procedures for Mistiming Identification and Traveling Wave Excitation of Blisks
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Testing and Calibration Procedures for Mistiming Identification and Traveling Wave Excitation of Blisks

机译:测试和校准程序误识别和行波行波激发

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摘要

In this work, an integrated testing and calibration procedure is presented for performing mistuning identification (ID) and traveling wave excitation (TWE) of one-piece bladed disks (blisks). The procedure yields accurate results while also being highly efficient and is comprised of three basic phases. First, selected modes from a tuned blisk finite element model are used to determine a minimal set of measurement degrees of freedom (and locations) that will work well for mistuning ID. Second, a testing procedure is presented that allows the mistuning to be identified from relatively few vibration response measurements. A numerical validation is used to investigate the convergence of the mistuning ID results to a prescribed mistuning pattern using the proposed approach and alternative testing strategies. Third, a method is derived to iteratively calibrate the excitation applied to each blade so that differences among the blade excitation magnitudes can be minimized for a single blade excitation, and also the excitation phases can be accurately set to achieve the desired traveling wave excitation. The calibration algorithm uses the principle of reciprocity and involves solving a least-squares problem to reduce the effects of measurement noise and uncertainty. Because the TWE calibration procedure re-uses the data collected during the mistuning ID, the overall procedure is integrated and efficient.
机译:在这项工作中,提出了一种集成的测试和校准程序,用于执行整体式叶片盘(叶盘)的雾化识别(ID)和行波激发(TWE)。该过程可产生准确的结果,同时也非常高效,并且包括三个基本阶段。首先,从调谐的叶盘有限元模型中选择模式用于确定最小的测量自由度(和位置)集合,这些集合对于ID的误解非常有效。其次,提出了一种测试程序,该程序允许从相对较少的振动响应测量结果中识别出雾气。使用所提出的方法和替代测试策略,使用数值验证来研究伪造ID结果收敛到规定的伪造模式。第三,推导一种方法来迭代地校准施加到每个叶片的激励,使得对于单个叶片激励,叶片激励幅度之间的差异可以被最小化,并且可以精确地设定激励相位以实现期望的行波激励。校准算法使用互易原理,并涉及解决最小二乘问题以减少测量噪声和不确定性的影响。由于TWE校准程序会重复使用在雾化ID期间收集的数据,因此整个程序是集成且高效的。

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