Although there are many laser ultrasonic imaging techniques developed so far, it still remains challenging to create such
images from a rotating object. In this study, an advanced laser ultrasonic imaging technique is developed so that
wavefield images can be constructed from a rotating blade using an embedded piezoelectric sensor and a scanning
excitation laser system. Here, the biggest challenge is to precisely estimate and control the exact excitation point when
the wind blade is rotating with additional ambient vibration and having complex shapes. In this study, the laser excitation
point is precisely estimated by computing the correlation values between the measured response signal and the ones in
the training data sets. First, training ultrasonic signals are measured at the fixed sensing point by scanning the excitation
laser over the target surface of the blade when the blade is in a stationary condition. Once the training is complete, an
ultrasonic signal is generated for the rotating blade using the excitation laser and measured by the sensor. The correlation
between the measured response and a training response is maximized when they correspond to the same excitation point.
Finally, ultrasonic images are generated by scanning the excitation laser over the target surface of the blade. The
effectiveness of the proposed imaging technique is investigated through experimental tests performed on a rotating blade
specimen.
In this study, a new damage detection technique is developed so that delamination in a multilayer composite plate can be
detected by comparing multi-path pitch-catch Lamb wave signals in a piezoelectric transducer network rather than by
comparing each signal with its corresponding baseline signal obtained from the pristine condition. The development of
the proposed technique is based on the premise that the fundamental anti-symmetric mode (A0) slows down when it
passes through a delamination area while the speed of the fundamental symmetric mode (S0) is invariant. First, the delay
of the A0 mode in each path is used as a delamination sensitive feature and extracted using a proposed mode extraction
technique. This mode extraction technique uses dual piezoelectric transducers composed of a concentric ring and circular
piezoelectric transducers, and it is capable of isolating the A0 mode in any desired frequency without frequency or
transducer size tuning. Once the time delays of the A0 mode are computed for all pitch-catch paths in the transducer
network, an instantaneous outlier analysis is performed on these features to identify wave propagation path(s) affected by
the delaminated region(s). Because the time delays of the A0 mode are instantaneously computed from existing multiple
paths, it has been demonstrated that robust delamination detection can be achieved even under varying temperature
conditions.
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