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3D ultrasonic imaging of surface-breaking cracks using a linear array.

Abhishek Saini¹, Christopher J L Lane², Juan Tu³

¹School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore.

|July 14, 2022

Summary

This summary is machine-generated.

This study introduces a new 3D hybrid ultrasonic imaging method to improve the resolution of surface-breaking crack (SBC) characterization. The technique enhances defect sizing and analysis for more reliable non-destructive testing (NDT).

Keywords:

3D imaging HSTFM Industrial NDT Linear array Phased array resolution SAFT

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Area of Science:

Materials Science
Non-Destructive Testing (NDT)
Ultrasonic Imaging

Background:

Ultrasonic linear arrays offer 3D imaging potential but face elevation plane resolution limitations for Non-Destructive Testing (NDT).
Quantitative 3D characterization of surface-breaking cracks (SBCs) using ultrasonics remains underexplored.

Purpose of the Study:

To enhance the 3D quantitative characterization of surface-breaking cracks (SBCs).
To improve elevation plane resolution in 3D ultrasonic imaging for NDT applications.

Main Methods:

A 3D hybrid imaging method combining Half Skip Total Focusing Method (HSTFM) and Synthetic Aperture Focusing Technique (SAFT) was developed.
A linear array with reduced element length was implemented for full matrix capture (FMC) data acquisition.
Imaging capability was assessed using point spread function (PSF) measurements and numerical simulations.

Main Results:

Reduced array element length combined with the hybrid imaging method significantly improved image resolution.
Experimental validation showed excellent agreement with numerical simulations.
Accurate prediction of SBC shape, size, and depth was achieved using a 6-dB-drop sizing rule.

Conclusions:

The proposed hybrid imaging method with a reduced elevation array and specific sizing technique enhances 3D ultrasonic image resolution for SBCs.
This approach offers improved quantitative analysis of defect spatial relationships, increasing NDT reliability.