Characterisation of carbon fibre-reinforced polymer composites through radon-transform analysis of complex eddy-current data
- Submitting institution
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University of Bristol
- Unit of assessment
- 12 - Engineering
- Output identifier
- 197267226
- Type
- D - Journal article
- DOI
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10.1016/j.compositesb.2018.05.007
- Title of journal
- Composites Part B: Engineering
- Article number
- -
- First page
- 252
- Volume
- 148
- Issue
- -
- ISSN
- 1359-8368
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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H - Ultrasonics and Non-Destructive Testing
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is acknowledged (Sharma, et.al., Int. J. App. Eng. Research, 2018) as the first to propose and implement a new method for rapid, automated characterization of the fiber orientation and stacking sequence of carbon fibre-reinforced polymer composites using random transform analysis of complex eddy current data. This work formed part of a £1.3M EPSRC Fellowship (EP/K037315/1) project. The paper benchmarks and evaluates the novel data-processing technique against established methods, demonstrating and quantifying its superiority in simplicity, precision, and ease-of-automation. This research led to a £50k project grant in the form of an EPSRC industrial feasibility study (EP/P006701/1).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
