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Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating
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Published on: October 11, 2016

Phase coherence imaging of grained materials.

Jorge Camacho1, Carlos Fritsch

  • 1Spanish National Council for Scientific Research (CSIC), Madrid, Spain. jorgecam@iai.csic.es

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|May 31, 2011
PubMed
Summary
This summary is machine-generated.

Phase coherence imaging enhances ultrasound flaw detection in noisy materials like steel and composites. This automatic technique improves the signal-to-noise ratio without complex parameter tuning.

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Area of Science:

  • Materials Science
  • Non-Destructive Testing
  • Ultrasonic Imaging

Background:

  • Ultrasound flaw detection is challenging in materials with structural noise, such as austenitic steels, titanium alloys, and composites, due to a low flaw-to-grain noise ratio.
  • Existing methods often require complex parameter tuning or iterative processes, hindering real-time application and ease of use.

Purpose of the Study:

  • To introduce and validate a novel technique, phase coherence imaging, for improving the flaw-to-grain noise ratio in ultrasonic testing.
  • To provide a method that simplifies flaw detection in challenging, noisy materials.

Main Methods:

  • Phase coherence imaging is proposed, which weights conventional beamformer output using a coherence factor derived from aperture data phase dispersion.
  • The technique is designed for straightforward real-time implementation and automatic operation, eliminating the need for parameter adjustment.

Main Results:

  • The theoretical basis for phase coherence imaging's grain noise reduction is presented.
  • Experimental results demonstrate the technique's effectiveness in improving the flaw-to-grain noise ratio, confirming theoretical predictions.

Conclusions:

  • Phase coherence imaging offers a significant advancement in ultrasonic flaw detection for materials with high structural noise.
  • The method's automatic, real-time capabilities and lack of parameter tuning make it a practical and efficient solution for non-destructive evaluation.