The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A comparison of embedded sensor Lamb wave ultrasonic tomography approaches for material loss detection
Abstract
Computerized tomography (CT) algorithms have been used mainly in the medical field but their powerful capabilities are being exploited more and more in industrial applications. This paper demonstrates that the technology is capable of detecting material loss on real aircraft components using embedded piezoelectric sensors on hidden surfaces. The work is novel in more than one respect. Firstly, it demonstrates that Lamb wave ultrasonic tomography can be used to accurately map material loss on an exposed aircraft surface with sensors embedded on the structure’s hidden surface. Hidden, in this case, refers to the surface that is not exposed to the atmosphere—the underneath of an aircraft wing, for example. Secondly, it compares tomographic images generated by fan-beam back projection and the signal difference coefficient methods, showing clearly that the latter are more sensitive to material loss.
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Citations
Cites
Principles of Computerized Tomographic Imaging
Kak, A. C., & Slaney, M. (2001) · doi:10.1137/1.9780898719277 · Cited by 5,809
Cited by
Lomazzi, L., Giglio, M., & Cadini, F. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.106003 · Cited by 43
Metadata
- Authors
- Hay, T. R., Royer, R. L., Gao, H., Zhao, X., & Rose, J. L.
- Venue
- Smart Materials and Structures
- Publisher
- IOP Publishing
- Published
- 2006-06-09
- Volume
- 15
- Issue
- 4
- Pages
- 946-951
- ISSN
- 0964-1726 (ISSN-L)
- 1361-665X
- OpenAlex
- W2000954165
- Cited by
- 223
- References
- 1
- FWCI
- 8.12
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hay, T. R., Royer, R. L., Gao, H., Zhao, X., & Rose, J. L. (2006). A comparison of embedded sensor Lamb wave ultrasonic tomography approaches for material loss detection. Smart Materials and Structures. https://doi.org/10.1088/0964-1726/15/4/007
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