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Durability diagnostics of turbine blades based on non-destructive acoustic emission testing

机译:基于非破坏性声发射测试的涡轮机叶片的耐久性诊断

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Acoustic Emission (AE) method for material state monitoring during fatigue tests was attested for turbine blade durability estimation for different types of superalloys. Average value of summarized AE signals, N_(ae), registered during the beginning of tests and summarized AE-signals, (N_(ae))_(01), in the second semi-cycle of blade bending both have good correlation with durability that blades reached at the moment of fracture. The discovered relations between summarized AE signals and durability demonstrated the high value of the correlation factor. For the moment of crack origination, the number of cycles, (N_f)_a, can be simulated also by the AE signals, (N_(ae))_t, registered during time interval in several minutes. In all discussed cases, relations between parameters of AE signals and critical values of the cycle's number for estimating durability introduced with discovered factors.
机译:用于不同类型超合金的涡轮叶片耐久性估计,证明了疲劳试验期间的材料状态监测的声学发射(AE)方法。 总结AE信号的平均值,N_(AE),在测试开始期间和总结AE信号的开始期间(N_(AE))_(01),在刀片弯曲的第二半周期中,耐久性都具有良好的相关性 叶片在骨折的那一刻达到了。 总结AE信号与耐久性之间的发现关系表明了相关因子的高值。 对于裂缝起始的瞬间,可以通过AE信号(N_(AE))_ t,在几分钟内的时间间隔期间登记的循环数(n_f)_a。 在所有讨论的情况下,AE信号参数与循环数字的关键值之间的关系,以估计被发现的因素引入的耐用性。

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