Precision fibre angle inspection for carbon fibre composite structures using polarisation vision

How to cite this record

Atkinson, G. and O'Hara Nash, S. (2021) Precision fibre angle inspection for carbon fibre composite structures using polarisation vision. UWE, http://researchdata.uwe.ac.uk/636.

UWE Harvard citation (for UWE users)

Atkinson, G. and O'Hara Nash, S. (2021) Precision fibre angle inspection for carbon fibre composite structures using polarisation vision. UWE data repository [online]. Available from: http://researchdata.uwe.ac.uk/636 [Accessed 16 November 2021].

Project Title

Precision fibre angle inspection for carbon fibre composite structures using polarisation vision

Brief summary of project

Abstract from associated paper: This paper evaluates the precision of polarisation imaging technology for the inspection of carbon fibre composite components. Specifically, it assesses the feasibility of the technology for fibre orientation measurements based on the premise that light is polarised by reflection from such anisotropically conductive surfaces. A recently commercialised Sony IMX250MZR sensor is used for data capture using various lighting conditions. The paper shows that it is possible to obtain sub-degree accuracy for cured and dry, woven and unidirectional materials in ideal conditions, which comprised dark field illumination. Indeed, in ideal conditions, the average relative angles can be measured to an accuracy of 0.1-0.2 degrees. Results also demonstrate a precision of the order 1 degree for more general illumination, such as dome illumination and ambient lighting, for certain material type/lens combinations. However, it is also shown that the precision varies considerably depending on illumination, lens choice and material type, with some results having errors above 2 degrees. Finally, a feasibility study into the inspection of three-dimensional components suggest that only limited application is possible for non-planar regions without further research. Nevertheless, the observed phenomena for such components are, at least, qualitatively understood based on physics theory.

Associated Publication Links

https://www.mdpi.com/2079-9292/10/22/2765 (UWE Research Repository)

https://uwe-repository....ribe.com/output/8068168 (UWE Research Repository)

Publisher

UWE

Details

Item Type: Dataset
Language of the Dataset Collection: English
Creators: Atkinson, G. and O'Hara Nash, S.
Additional Team Member: Smith, L. and Smith, M.
UWE Faculty/Department: Faculty of Environment and Technology > Department of Engineering Design and Mathematics
UWE Research Centres/Institutes: Faculty of Environment and Technology > Centre for Machine Vision
Depositing User: Dr G. Atkinson
Date Deposited: 20 Sep 2021 08:18
Last Modified: 15 Nov 2021 08:52

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