• DocumentCode
    2526362
  • Title

    Exploring vibration based method for crack detection in turbine blade

  • Author

    Kotambkar, Mangesh S.

  • Author_Institution
    Dept. of Mech. Eng., Visvesvaraya Nat. Inst. of Technol., Nagpur, India
  • fYear
    2010
  • fDate
    10-12 Sept. 2010
  • Firstpage
    28
  • Lastpage
    33
  • Abstract
    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.
  • Keywords
    blades; crack detection; elasticity; fatigue cracks; finite element analysis; fracture mechanics; matrix algebra; nondestructive testing; steam turbines; vibrations; crack detection; finite element method; flaws; linear elastic fracture mechanics; low cycle fatigue; nondestructive testing; pressure steam turbine; stiffness matrix; turbine blade; vibration characteristic; Artificial intelligence; Shape; Vibrations; Crack; Finite Element Analysis; Turbine Blade and Vibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanical and Electrical Technology (ICMET), 2010 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-8100-2
  • Electronic_ISBN
    978-1-4244-8102-6
  • Type

    conf

  • DOI
    10.1109/ICMET.2010.5598486
  • Filename
    5598486