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Experimental Validation of Numerical Blade Flutter Prediction

机译:叶片颤振数值预测的实验验证

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摘要

Blade flutter of modern gas-turbine engines is one of the main issues that engine designers have to face. The most used numerical method that is employed for flutter prediction is the energy method. Although a lot of papers are devoted to the analysis of different blade wheels, this method was rarely validated by experiments. Typical mesh size, time step, and various modeling approaches that guarantee reliable flutter prediction are not commonly known, whereas some examples show that predictions obtained through nonvalidated codes can be inaccurate. In this paper, we describe our implementation of the energy method. Analysis of convergence and sensitivity to various modeling abstractions are carefully investigated. Numerical results are verified by compressor and full engine flutter test data. It is shown that the prediction of flutter onset is rather reliable so that the modeling approaches presented in this paper can be used by other researchers for the flutter analysis of industrial compressor blades.
机译:现代燃气涡轮发动机的叶片颤振是发动机设计人员必须面对的主要问题之一。用于颤动预测的最常用的数值方法是能量方法。尽管许多论文致力于不同叶片轮的分析,但这种方法很少通过实验验证。众所周知,典型的网格大小,时间步长和各种能够确保可靠的颤动预测的建模方法并不为人所知,而一些示例表明,通过未经验证的代码获得的预测可能不准确。在本文中,我们描述了能量方法的实现。仔细研究了对各种建模抽象的收敛性和敏感性分析。数值结果通过压缩机和整个发动机颤振测试数据进行验证。结果表明,颤振开始的预测是相当可靠的,因此本文介绍的建模方法可以被其他研究人员用于工业压缩机叶片的颤振分析。

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  • 来源
    《Journal of propulsion and power》 |2015年第5期|1281-1291|共11页
  • 作者单位

    Lomonosov Moscow State University, 119991, Moscow, Russia;

    Lomonosov Moscow State University, 119991, Moscow, Russia;

    Gas Turbine Engineering Research and Production Center, Salut, 105118, Moscow, Russia;

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