Ultrasonic array imaging through reverberating layers for industrial process analysis

Marcus Ingram, Anthony Gachagan, Anthony J. Mulholland, Alison Nordon, Martin Hegarty

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)
1 Downloads (Pure)

Abstract

In this paper, ultrasonic phased arrays are investigated as an imaging tool for industrial process analysis. Noninvasive process measurement, via transmission of information through a vessel wall, typically requires a window to create an optical path between the sensor and the process. Ultrasonic array imaging provides a means to overcome this barrier as it is specifically used to image into optically opaque structures. However, the large acoustic impedance mismatch between the steel process vessel and water load results in reverberations clouding the image scene containing reflections from within the process fluid. A methodology to identify and remove this reverberation interference from the image scene is proposed using subspace analysis coupled with phase coherence imaging. A 32 element, 5 MHz finite element array model mounted to the outside of a steel vessel wall is used to demonstrate the application of this methodology to a typical industrial process environment. The final image is free of reverberation artifacts, providing a means to accurately extract quantitative information about the process from these images.
Original languageEnglish
Title of host publication2018 IEEE International Ultrasonics Symposium
Place of PublicationPiscataway, NJ
PublisherIEEE
Number of pages4
ISBN (Print) 9781538634257
DOIs
Publication statusE-pub ahead of print - 20 Dec 2018
Event2018 IEEE International Ultrasonics Symposium - Portopia Hotel, Kobe, Japan
Duration: 22 Oct 201825 Oct 2018

Conference

Conference2018 IEEE International Ultrasonics Symposium
Abbreviated titleIUS 2018
CountryJapan
CityKobe
Period22/10/1825/10/18

Keywords

  • ultrasonic phased array
  • industrial process analysis
  • non-invasive process imaging

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  • Projects

    Industrial Case Account 2014 | Ingram, Marcus

    Gachagan, A., Nordon, A. & Ingram, M.

    1/10/1517/05/19

    Project: Research Studentship - Internally Allocated

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