探索基于振动的涡轮叶片裂纹检测方法

M. Kotambkar
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引用次数: 6

摘要

在低压汽轮机中,由于低周疲劳(LCF)引起的裂纹样缺陷是引起汽轮机过早失效的主要原因之一。无损检测(NDT)方法,如染料渗透、磁粉感应、声波、超声波等,是非常昂贵和耗时的任务。此外,必须事先知道断层的附近,并且该区域必须易于接近。近二十年来,利用固有频率、振型、阻尼等模态参数对梁的振动分析进行了大量的研究。本研究尝试将基于振动特性的方法推广到涡轮叶片裂纹检测中。从线弹性断裂力学理论出发,采用有限元方法建立了裂纹单元的刚度矩阵
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring vibration based method for crack detection in turbine blade
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
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