Improved Amplitude Extraction Method for Attenuation Reconstruction of Transmissive Ultrasonic Tomography

Líu, Hao; Tan, Chao; Dong, Feng

doi:10.1109/i2mtc48687.2022.9806506

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…In the realm of ultrasonic testing (UT), ultrasonic transmission emerges as a defect detection technique that overcomes the limitations of traditional methods, allowing for the inspection of near-surface and surface defects and the measurement of various material properties. Several studies both domestically and internationally have utilized ultrasonic transmission methods for defect detection and measurement [16][17][18][19][20][21]. For instance, Wang [22] employed ultrasonic transmission for defect detection in complex curved resin-based composite materials, demonstrating the capability of the ultrasonic transmission method to detect bending composite parts with the aid of an automatic robot inspection system.…”

Section: Introductionmentioning

confidence: 99%

A Through-Transmission Ultrasonic Method for the Detection of Ferrite Tile Defects

Huang,

Li,

Zhu

et al. 2023

Applied Sciences

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A through-transmission ultrasonic method is proposed to address limitations in conventional ultrasonic reflection methods for non-destructive testing of ferrite tiles. The method utilizes a dual-probe configuration on both sides of the test piece to measure ultrasonic transmission signals, overcoming issues related to blind zones and orientation limitations in pulse-echo reflection methods. This method demonstrates excellent capabilities for full inspection of internal and external defects in ferrite tiles. Physical field finite element simulations were conducted to analyze detection capabilities and a transmissive testing system is developed based on the simulation results. Experimental validation was performed on artificially manufactured quantified defect samples in aluminum alloy, and the same testing system was applied to evaluate ferrite tile samples. The results confirmed the effectiveness of the system in distinguishing defective (NG) signals from normal defect-free (OK) signals, with a recall rate of at least 95% on samples of various sizes up to 0.1 mm. This research provides insights for quality control and defect detection technology in ferrite tiles.

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