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Ultrasound Imaging of Pipeline Crack Based on Composite Transducer Array

Shou-Peng Song et al · KeAi Communications Co., Ltd · 2018

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Abstract Cracks, especially small cracks are difficult to be detected in oil and gas transportation pipelines buried underground or covered with layers of material by using the traditional ultrasonic inspection techniques. Therefore, a new composite ultrasonic transducer array with three acoustic beam incidence modes is developed. The space model of the array is also established to obtain the defect reflection point location. And the crack ultrasound image is thus formed through a series of small cubical elements expanded around the point locations by using the projection of binarization values extracted from the received ultrasonic echo signals. Laboratory experiments are performed on a pipeline sample with different types of cracks to verify the effectiveness and performance of the proposed technique. From the image, the presence of small cracks can be clearly observed, in addition to the sizes and orientations of the cracks. The proposed technique can not only inspect common flaws, but also detect cracks with various orientations, which is helpful for defect evaluation in pipeline testing.

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APA 7

al, S. P. S. E. (2018). Ultrasound Imaging of Pipeline Crack Based on Composite Transducer Array. https://doi.org/10.1186/s10033-018-0280-z

MLA

al, Shou-Peng Song et. "Ultrasound Imaging of Pipeline Crack Based on Composite Transducer Array." 2018. https://doi.org/10.1186/s10033-018-0280-z.

Chicago

al, Shou-Peng Song et. 2018. "Ultrasound Imaging of Pipeline Crack Based on Composite Transducer Array.". https://doi.org/10.1186/s10033-018-0280-z.

Harvard

al, S. P. S. E. 2018, Ultrasound Imaging of Pipeline Crack Based on Composite Transducer Array, KeAi Communications Co, Ltd, available at: https://doi.org/10.1186/s10033-018-0280-z [Accessed 10 Aug. 2026].

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Title
Ultrasound Imaging of Pipeline Crack Based on Composite Transducer Array
Author / contributors
Shou-Peng Song et al
Publisher
KeAi Communications Co., Ltd
Publication year
2018
ISSN
1000-9345
ISSN
1000-9345
Language
English

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