Research using microwaves (MWs) to detect pipe wall thinning (PWT) distinguishes the presence of wall thinning, but does not accurately locate the discontinuities. Ultrasonic testing (UT) is capable of accurately locating the PWT defect, but cannot do so without time-consuming linear scanning. This novel work combines the MW technique as a way to predict the location of a series of PWT specimens, and the UT technique as a way to characterize the PWT specimens in terms of location, depth, and profile shape. The UT probe is guided to the predicted location derived from the Phase One MW results, generating the Phase Two results to determine accurate location, depth measurement, and profile shape detection. The work uses the previously successful experimental setup for testing of an aluminum pipe with 154.051 mm inner diameter (ID) and 1 m length. A vector network analyzer (VNA) generates a MW sweeping frequency range of 1.4–2.3 GHz. This signal is propagated within reference pipes with both open end and short-circuit configurations for calibration of the system. The calibrated system is used to detect the presence and location of six PWT specimens, with two profile shapes, at three depths of thinning and three locations along the pipe. The predicted locations from Phase One are then used to guide a calibrated, manually guided straight beam UT probe to the predicted position. From that point, the UT probe is used in order to accurately localize and determine the depth and shape profile of the specimens.
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February 2018
Research-Article
Experimental Evaluation of Novel Hybrid Microwave/Ultrasonic Technique to Locate and Characterize Pipe Wall Thinning
Wissam M. Alobaidi,
Wissam M. Alobaidi
Systems Engineering Department,
Donaghey College of Engineering and
Information Technology,
University of Arkansas at Little Rock,
Little Rock, AR 72204
e-mail: wmalobaidi@ualr.edu
Donaghey College of Engineering and
Information Technology,
University of Arkansas at Little Rock,
Little Rock, AR 72204
e-mail: wmalobaidi@ualr.edu
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Clifford E. Kintner,
Clifford E. Kintner
Electrical Engineering Department,
College of Engineering,
University of Arkansas,
Fayetteville, AR, 72701
e-mail: kintner@uark.edu
College of Engineering,
University of Arkansas,
Fayetteville, AR, 72701
e-mail: kintner@uark.edu
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Entidhar A. Alkuam,
Entidhar A. Alkuam
Department of Physics and Astronomy,
College of Arts, Letters, and Sciences,
University of Arkansas at Little Rock,
Little Rock, AR 72204
e-mail: eaalkuam@ualr.edu
College of Arts, Letters, and Sciences,
University of Arkansas at Little Rock,
Little Rock, AR 72204
e-mail: eaalkuam@ualr.edu
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Kota Sasaki,
Kota Sasaki
Department of Quantum Science
and Energy Engineering,
Graduate School of Engineering,
Tohoku University,
Sendai 980–8579, Miyagi, Japan
e-mail: ksasa@karma.qse.tohoku.ac.jp
and Energy Engineering,
Graduate School of Engineering,
Tohoku University,
Sendai 980–8579, Miyagi, Japan
e-mail: ksasa@karma.qse.tohoku.ac.jp
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Noritaka Yusa,
Noritaka Yusa
Department of Quantum Science
and Energy Engineering,
Graduate School of Engineering,
Tohoku University,
Sendai 980–8579, Miyagi, Japan
e-mail: noritaka.yusa@qse.tohoku.ac.jp
and Energy Engineering,
Graduate School of Engineering,
Tohoku University,
Sendai 980–8579, Miyagi, Japan
e-mail: noritaka.yusa@qse.tohoku.ac.jp
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Hidetoshi Hashizume,
Hidetoshi Hashizume
Department of Quantum Science
and Energy Engineering,
Graduate School of Engineering,
Tohoku University,
Sendai 980–8579, Miyagi, Japan
e-mail: hidetoshi.hashizume@qse.tohoku.ac.jp
and Energy Engineering,
Graduate School of Engineering,
Tohoku University,
Sendai 980–8579, Miyagi, Japan
e-mail: hidetoshi.hashizume@qse.tohoku.ac.jp
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Eric Sandgren
Eric Sandgren
Systems Engineering Department,
Donaghey College of Engineering and
Information Technology,
University of Arkansas at Little Rock,
Little Rock, AR 72204
e-mail: exsandgren@ualr.edu
Donaghey College of Engineering and
Information Technology,
University of Arkansas at Little Rock,
Little Rock, AR 72204
e-mail: exsandgren@ualr.edu
Search for other works by this author on:
Wissam M. Alobaidi
Systems Engineering Department,
Donaghey College of Engineering and
Information Technology,
University of Arkansas at Little Rock,
Little Rock, AR 72204
e-mail: wmalobaidi@ualr.edu
Donaghey College of Engineering and
Information Technology,
University of Arkansas at Little Rock,
Little Rock, AR 72204
e-mail: wmalobaidi@ualr.edu
Clifford E. Kintner
Electrical Engineering Department,
College of Engineering,
University of Arkansas,
Fayetteville, AR, 72701
e-mail: kintner@uark.edu
College of Engineering,
University of Arkansas,
Fayetteville, AR, 72701
e-mail: kintner@uark.edu
Entidhar A. Alkuam
Department of Physics and Astronomy,
College of Arts, Letters, and Sciences,
University of Arkansas at Little Rock,
Little Rock, AR 72204
e-mail: eaalkuam@ualr.edu
College of Arts, Letters, and Sciences,
University of Arkansas at Little Rock,
Little Rock, AR 72204
e-mail: eaalkuam@ualr.edu
Kota Sasaki
Department of Quantum Science
and Energy Engineering,
Graduate School of Engineering,
Tohoku University,
Sendai 980–8579, Miyagi, Japan
e-mail: ksasa@karma.qse.tohoku.ac.jp
and Energy Engineering,
Graduate School of Engineering,
Tohoku University,
Sendai 980–8579, Miyagi, Japan
e-mail: ksasa@karma.qse.tohoku.ac.jp
Noritaka Yusa
Department of Quantum Science
and Energy Engineering,
Graduate School of Engineering,
Tohoku University,
Sendai 980–8579, Miyagi, Japan
e-mail: noritaka.yusa@qse.tohoku.ac.jp
and Energy Engineering,
Graduate School of Engineering,
Tohoku University,
Sendai 980–8579, Miyagi, Japan
e-mail: noritaka.yusa@qse.tohoku.ac.jp
Hidetoshi Hashizume
Department of Quantum Science
and Energy Engineering,
Graduate School of Engineering,
Tohoku University,
Sendai 980–8579, Miyagi, Japan
e-mail: hidetoshi.hashizume@qse.tohoku.ac.jp
and Energy Engineering,
Graduate School of Engineering,
Tohoku University,
Sendai 980–8579, Miyagi, Japan
e-mail: hidetoshi.hashizume@qse.tohoku.ac.jp
Eric Sandgren
Systems Engineering Department,
Donaghey College of Engineering and
Information Technology,
University of Arkansas at Little Rock,
Little Rock, AR 72204
e-mail: exsandgren@ualr.edu
Donaghey College of Engineering and
Information Technology,
University of Arkansas at Little Rock,
Little Rock, AR 72204
e-mail: exsandgren@ualr.edu
1Corresponding author.
Contributed by the Pressure Vessel and Piping Division of ASME for publication in the JOURNAL OF PRESSURE VESSEL TECHNOLOGY. Manuscript received May 9, 2017; final manuscript received November 14, 2017; published online December 1, 2017. Assoc. Editor: Steve J. Hensel.
J. Pressure Vessel Technol. Feb 2018, 140(1): 011501 (10 pages)
Published Online: December 1, 2017
Article history
Received:
May 9, 2017
Revised:
November 14, 2017
Citation
Alobaidi, W. M., Kintner, C. E., Alkuam, E. A., Sasaki, K., Yusa, N., Hashizume, H., and Sandgren, E. (December 1, 2017). "Experimental Evaluation of Novel Hybrid Microwave/Ultrasonic Technique to Locate and Characterize Pipe Wall Thinning." ASME. J. Pressure Vessel Technol. February 2018; 140(1): 011501. https://doi.org/10.1115/1.4038517
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