Abstract

The main challenge for guided wave inspection is exact defect characterization and sizing. EMAT generated Lamb waves usually have low signal-to-noise ratio which reduces the defect detection, characterization and sizing capabilities. That's why in most cases the method is used only as a screening tool. The Synthetic Aperture Focusing Technique is a process that increases the signal-to-noise ratio by numerically focusing the acoustic fields. In this paper the application of SAFT is tested over EMAT generated Lamb waves. The improvement of lateral resolution and signal-to-noise ratio is evaluated. Results are presented as a comparison between standard B-scan and SAFT processed data.

Highlights

  • Application of ultrasonic guided waves in non-destructive testing is growing rapidly for a variety of reasons

  • The results show the ability of Synthetic Aperture Focusing Technique (SAFT) to increase the inspection range and respectively the sensitivity of meander coil EMAT equipment

  • The proposed algorithm for post-processing of ultrasonic signals received from EMAT generated Lamb waves is based on SAFT

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Summary

Introduction

Application of ultrasonic guided waves in non-destructive testing is growing rapidly for a variety of reasons. The most common and simplest configurations for generation of guided waves in plates and pipes are the so-called meander coil EMAT. The equipment usually includes a hand-held scanner which provides axial and circumferential scanning for inspection of pipes and plates using guided waves. This allows real time images (B-scans) to be generated [3]. The SAFT analysis is an imaging process that increases the signal-to-noise ratio and improves lateral resolution by numerically focusing the acoustic fields This imaging technique has been applied to imaging defects in plates using guided waves generated using piezoelectric transducers [5,6]. In this paper an offline post-processing SAFT technique is described which uses the complete B-scan data recorded from hand-held scanning of steel plates using EMAT generated Lamb waves

Data post-processing algorithm
Results and discussion
Conclusion

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