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Exploring vibration based method for crack detection in turbine blade

机译:探索基于振动的涡轮叶片裂纹检测方法

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In case of a low pressure steam turbine the crack like flaws due to low cycle fatigue (LCF) is one of the main reasons for its premature failure as reported by various researchers. Non destructive testing (NDT) methods like dye penetrate, magnetic particle induction, acoustic, ultrasonic etc. are used for detection of crack which are very costly and time consuming task. Also vicinity of the fault has to be known beforehand and area has to be readily accessible. Since last two decades lot of research has been done in using vibration analysis to detect crack in beams by using modal parameters like natural frequency, mode shape, damping etc. In this research work an attempt is made to extend vibration characteristic based method for detection of crack in turbine blade. The finite element method is used with development of stiffness matrix for cracked element from the theory of linear elastic fracture mechanics
机译:在低压蒸汽涡轮机的情况下,由于低循环疲劳(LCF)引起的裂缝裂缝是其主要研究人员报道的过早性能的主要原因之一。非破坏性测试(NDT)方法如染料渗透,磁颗粒诱导,声学,超声波等用于检测裂缝,这是非常昂贵和耗时的任务。此外,故障附近必须预先知道,并且面积必须易于访问。自从过去二十年来以来,在使用振动分析时已经完成了许多研究,以通过使用自然频率,模式形状,阻尼等的模态参数来检测光束中的裂缝。在本研究中,尝试延长基于振动特性的检测方法涡轮叶片的裂缝。有限元法与线性弹性骨折机械理论的裂纹元件的刚度矩阵的发展使用

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