A comparison of methods used to predict the vibrational energy required for a reliable thermosonic inspection

Thermosonics is capable of detecting cracks in several types of components. The component is excited with high-power ultrasonic vibrations, causing cracks to generate heat, which can be detected by an infrared (IR) camera. However, the excitation in a typical thermosonic test is non-reproducible and can lead to cracks being undetected if sufficient vibrational energy is not applied at the crack location. The vibrational energy dissipated as heat at the defect is directly related to the frequency and amplitude of the vibration, and this energy can be represented by a single parameter (Heating Index) computed from the vibration waveform. The Heating Index parameter is useful as it can be used to predict the vibration level required for a reliable thermosonic inspection. The aim of this work is to compare different vibration measuring devices that may be used to capture the vibration waveform required to compute the Heating Index. In this study, an aero engine turbine blade is inspected using a practical thermosonic setup, after which the vibration waveforms acquired from a laser vibrometer, microphone and strain gauge are processed. Results from this work will highlight the relative merits and limitations of these different vibration measuring devices for computing the Heating Index.

[1]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[2]  P. Cawley,et al.  RELIABLE CRACK DETECTION IN THERMOSONICS NDE , 2008 .

[3]  W. Marsden I and J , 2012 .

[4]  M. Degroot,et al.  Probability and Statistics , 2021, Examining an Operational Approach to Teaching Probability.

[5]  R. Adams,et al.  Heat emission from damaged composite materials and its use in nondestructive testing , 1981 .

[6]  David J. Ewins,et al.  Modal Testing: Theory, Practice, And Application , 2000 .

[7]  Peter Cawley,et al.  Prediction of the thermosonic signal from fatigue cracks in metals using vibration damping measurements , 2007 .

[8]  L. Drain The Laser Doppler Technique , 1980 .

[9]  Md. Sawar Islam,et al.  Acoustic chaos for enhanced detectability of cracks by sonic infrared imaging , 2004 .

[10]  Golam Newaz,et al.  Sonic infrared imaging of fatigue cracks , 2001 .

[11]  B. Hogan,et al.  Detection of Tight Fatigue Cracks at the Root of Dampers in Fan Blades Using Sonic IR Inspection: A Feasibility Demonstration , 2007 .

[12]  Stephen D. Holland,et al.  TOWARD A VIABLE STRATEGY FOR ESTIMATING VIBROTHERMOGRAPHIC PROBABILITY OF DETECTION , 2007 .

[13]  Stephen Pierce,et al.  RELIABLE CRACK DETECTION IN TURBINE BLADES USING THERMOSONICS: AN EMPIRICAL STUDY , 2010 .

[14]  Peter Cawley,et al.  A calibration procedure for sonic infrared nondestructive evaluation , 2009 .

[15]  Peter Cawley,et al.  Improved Reliability of Sonic Infrared Testing , 2009 .

[16]  Peter Cawley,et al.  Prediction of the thermosonic signal from fatigue cracks in metals using vibration damping measurements , 2006 .