Quantitative phase measurement for the damage detection in piezoelectric crystal using angularly placed multiple inter digital transducers

In the paper, an algorithm has been proposed to detect anomaly/damage in anisotropic piezoelectric crystals. Lithium Niobate piezoelectric single crystal is our test model to demonstrate the damage quantification algorithm. Surface acoustic waves (SAW) sensors are highly sensitive to surface perturbation and abrasions which reduce the performance of piezoelectric sensors. A macro-scale surface flaw has been inserted in between the SIMO IDTs. The sensor response in pristine and damage state is acquired, and changes in time-off-light and phase rotation where its principal components have been evaluated. The received multiple signals were analyzed using a phase retrieval algorithm, which provides quantitative information with high accuracy. Principle component analysis has been employed to detect anomalies. Our proposed method introduces a new approach that could potentially lead to extract lower scale flaws using SIMO methodology.