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Experimental analysis of surface detection methods for two-medium imaging with a linear ultrasonic array.

M Y Matuda1, F Buiochi1, J C Adamowski1

  • 1Mechatronics Engineering Department, School of Engineering at the University of Sao Paulo, Sao Paulo, Brazil.

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|December 18, 2018
PubMed
Summary
This summary is machine-generated.

Two novel methods for ultrasonic surface detection improve imaging of nonplanar objects. These techniques, while slower than existing methods, offer greater accuracy for specific convex object configurations in immersion ultrasonic nondestructive testing.

Keywords:
Surface detectionUltrasonic array transducerUltrasound imaging

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Area of Science:

  • * Ultrasonic Nondestructive Testing (NDT)
  • * Acoustic Imaging
  • * Materials Science

Background:

  • * Accurate imaging of objects with nonplanar surfaces using ultrasonic linear array transducers requires knowledge of the object's surface shape to compensate for refraction.
  • * Coupling media are essential for transmitting ultrasonic waves between the transducer and the object in immersion testing.

Purpose of the Study:

  • * To propose and evaluate two new methods for detecting the surface shape of convex objects in immersion using a single ultrasonic linear array transducer.
  • * To compare the accuracy and performance of these novel surface detection methods against an existing technique (pitch-catch).
  • * To implement and assess a new technique for calculating delays in Synthetic Aperture Focusing Technique (SAFT) image formation based on Fermat's principle.

Main Methods:

  • * Development of two surface detection methods: one based on imaging techniques and another utilizing the time-of-flight of echoes from ultrasonic signals.
  • * Experimental comparison of the proposed methods with the pitch-catch method for accuracy and performance.
  • * Implementation of a novel delay calculation technique for SAFT image formation, adhering to Fermat's principle, and image combination using the effective aperture technique.

Main Results:

  • * The proposed surface detection methods demonstrated smaller errors in certain tested configurations compared to the pitch-catch method.
  • * The novel methods exhibited slower performance relative to the pitch-catch method.
  • * The developed techniques enabled interactive two-medium SAFT image formation executable on a general-purpose CPU.

Conclusions:

  • * The developed surface detection and SAFT imaging techniques are effective for characterizing nonplanar surfaces in ultrasonic NDT.
  • * The trade-off between accuracy and speed was observed, with the proposed methods excelling in accuracy for specific scenarios.
  • * The study successfully demonstrated interactive image formation capabilities on standard computing hardware.