An optical method for measuring surface roughness of machined carbon fibre-reinforced plastic composites
- Submitting institution
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The University of Sheffield
- Unit of assessment
- 12 - Engineering
- Output identifier
- 7491
- Type
- D - Journal article
- DOI
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10.1177/0021998316644849
- Title of journal
- Journal of Composite Materials
- Article number
- -
- First page
- 289
- Volume
- 51
- Issue
- 3
- ISSN
- 1530-793X
- Open access status
- Not compliant
- Month of publication
- May
- Year of publication
- 2016
- URL
-
-
- Supplementary information
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-
- 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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6
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This EPSRC-funded work developed an enhanced, data-rich defect inspection method which utilised focus variation to analyse machined composite surfaces at ply-scale, to detect fibre orientation-specific defects. A design of experiments approach was utilised to identify 3D roughness values which gave a strong correlation to common defect types. The outputs led to the adoption of the technique in aerospace applications, with £350k of related research for the Rolls-Royce UltraFan composite fan blade, and a £1.6m R&D project with Boeing linked to defect identification. The knowledge of how to deploy focus variation in this application supported the development of the Alicona Cobot.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -