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September 10, 2025Measurement Science and Technology

A fast imaging algorithm for internal metal defects with zero group velocity energy anomalies based on laser ultrasonic dynamic ridge tracking

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Authors

GLG. Q. LiXRXiaobo RuiHZHui Zhang

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Overview

The proposed method improves defect detection sensitivity in metal components, suggesting efficiency gains through ZGV energy anomalies and laser ultrasonics.

Key Points

  • The method significantly improves sensitivity for detecting micro-defects in metal components and enhances imaging speed.
  • Experimental validation indicates that the algorithm enables accurate defect localization even when sampling intervals exceed defect sizes by over five times.
  • By utilizing zero group velocity energy anomalies, the algorithm tracks laser ultrasonic signals for enhanced defect detection.
  • A finite element model of Lamb wave propagation reveals local energy concentration related to defect characteristics.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/68c1b18b54b1d3bfb60e890dhttps://doi.org/10.1088/1361-6501/adf769
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