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Weld map tomography for determining local grain orientations from ultrasound

Weld map tomography for determining local grain orientations from ultrasound
Weld map tomography for determining local grain orientations from ultrasound

The complex structure of inhomogeneous welds poses a long-standing challenge in ultrasonic non-destructive testing. Elongated grains with spatially varying dominant orientations can distort and split the ultrasonic beam, hindering inspection data interpretation. One way to tackle this problem is to include material information in imaging and signal analysis; however, such information is often only gathered using destructive methods. This paper reports the development of a physics-based weld inversion strategy determining grain orientations using a ray tomography principle. The considered approach does not rely on a macroscopic weld description but may incorporate it to facilitate inversion. Hence, it is more general than other available approaches. The methodology is demonstrated in both numerical and experimental examples. The experimental work focuses on mock-up samples from the nuclear industry and a sample manufactured during this research. The 'ground truth' for the latter comes from an EBSD evaluation - the most accurate (yet destructive) examination technique available. Across the considered specimens, our methodology yielded orientation maps with average errors well below 20∘, leading to time-of-flight errors below 0.05 μs. Applying the result from inversion to ultrasonic imaging offered between 5 and 14 dB signal-to-noise ratio improvement for defect signatures.

array imaging, austenitic welds, non-destructive evaluation, tomography, ultrasonics
1364-5021
Kalkowski, Michał K.
6f0d01ef-7f44-459c-82a2-03f9e1275eda
Lowe, Michael J.S.
ea054a45-8b1d-498f-bdf8-995973f76ed7
Samaitis, Vykintas
2d587fb5-8c22-40fd-b872-16dfee30ef32
Schreyer, Fabian
1b90d6c0-b8ca-4b4c-ba71-aff80e860d6a
Robert, Sébastien
1786bbd3-89ad-471a-8776-8cf0a5d7dbcc
Kalkowski, Michał K.
6f0d01ef-7f44-459c-82a2-03f9e1275eda
Lowe, Michael J.S.
ea054a45-8b1d-498f-bdf8-995973f76ed7
Samaitis, Vykintas
2d587fb5-8c22-40fd-b872-16dfee30ef32
Schreyer, Fabian
1b90d6c0-b8ca-4b4c-ba71-aff80e860d6a
Robert, Sébastien
1786bbd3-89ad-471a-8776-8cf0a5d7dbcc

Kalkowski, Michał K., Lowe, Michael J.S., Samaitis, Vykintas, Schreyer, Fabian and Robert, Sébastien (2023) Weld map tomography for determining local grain orientations from ultrasound. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 479 (2277), [20230236]. (doi:10.1098/rspa.2023.0236).

Record type: Article

Abstract

The complex structure of inhomogeneous welds poses a long-standing challenge in ultrasonic non-destructive testing. Elongated grains with spatially varying dominant orientations can distort and split the ultrasonic beam, hindering inspection data interpretation. One way to tackle this problem is to include material information in imaging and signal analysis; however, such information is often only gathered using destructive methods. This paper reports the development of a physics-based weld inversion strategy determining grain orientations using a ray tomography principle. The considered approach does not rely on a macroscopic weld description but may incorporate it to facilitate inversion. Hence, it is more general than other available approaches. The methodology is demonstrated in both numerical and experimental examples. The experimental work focuses on mock-up samples from the nuclear industry and a sample manufactured during this research. The 'ground truth' for the latter comes from an EBSD evaluation - the most accurate (yet destructive) examination technique available. Across the considered specimens, our methodology yielded orientation maps with average errors well below 20∘, leading to time-of-flight errors below 0.05 μs. Applying the result from inversion to ultrasonic imaging offered between 5 and 14 dB signal-to-noise ratio improvement for defect signatures.

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More information

Accepted/In Press date: 14 July 2023
e-pub ahead of print date: 6 September 2023
Published date: 6 September 2023
Additional Information: Funding Information: This research was a part of the ADVISE project ( www.advise-h2020.eu ) funded from the Euratom Research and Training Programme 2014–2018 under grant agreement no. 755500. Acknowledgements Publisher Copyright: © 2023 The Authors.
Keywords: array imaging, austenitic welds, non-destructive evaluation, tomography, ultrasonics

Identifiers

Local EPrints ID: 482805
URI: http://eprints.soton.ac.uk/id/eprint/482805
ISSN: 1364-5021
PURE UUID: ec92754f-e57e-4f2a-af87-bbdf858a5e18

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Date deposited: 12 Oct 2023 16:48
Last modified: 17 Mar 2024 13:31

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Contributors

Author: Michael J.S. Lowe
Author: Vykintas Samaitis
Author: Fabian Schreyer
Author: Sébastien Robert

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