An automated image processing algorithm to determine wrinkle characteristics from B-scans

A Sandhu, T. J. Dodwell, R. Butler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents an automated algorithm which extracts wrinkle characteristics from B-Scan images of large composite parts. Out-of-plane ply misalignment is estimated by a bespoke fully automated algorithm based on the multiple field image analysis method (MFIA). The original algorithm is adapted to (1) specifically improve the method's robustness at handling low resolution images typical of B-scan data and (2) compute wrinkle characteristics such as wavelength, amplitude and location. The algorithm is first validated against a synthetic wrinkle created using a localised wave function, and shows wavelength characteristics computed to within ±1%. The algorithm is then demonstrated for real scans of out-of-plane wrinkles in the corners of a large-scale C-section component. Finally, we show how the algorithm is used to generate a finite 3D representation of the wrinkles. It is envisaged this model can be used to assess component knockdown factors without the need for expensive destructive testing.

Original languageEnglish
Title of host publicationECCM 2016 - Proceeding of the 17th European Conference on Composite Materials
PublisherEuropean Society for Composite Materials
ISBN (Electronic)9783000533877
Publication statusPublished - 2016
Event17th European Conference on Composite Materials, ECCM 2016 - Munich, Germany
Duration: 26 Jun 201630 Jun 2016

Conference

Conference17th European Conference on Composite Materials, ECCM 2016
CountryGermany
CityMunich
Period26/06/1630/06/16

Fingerprint

Image processing
Wavelength
Image resolution
Wave functions
Image analysis
Composite materials
Testing

Keywords

  • CT-scan
  • Diffusion
  • FRP
  • Hygrothermal aging
  • Impedance spectroscopy
  • Mechanical degradation
  • Moisture absorption
  • SEM

ASJC Scopus subject areas

  • Ceramics and Composites

Cite this

Sandhu, A., Dodwell, T. J., & Butler, R. (2016). An automated image processing algorithm to determine wrinkle characteristics from B-scans. In ECCM 2016 - Proceeding of the 17th European Conference on Composite Materials European Society for Composite Materials.

An automated image processing algorithm to determine wrinkle characteristics from B-scans. / Sandhu, A; Dodwell, T. J.; Butler, R.

ECCM 2016 - Proceeding of the 17th European Conference on Composite Materials. European Society for Composite Materials, 2016.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sandhu, A, Dodwell, TJ & Butler, R 2016, An automated image processing algorithm to determine wrinkle characteristics from B-scans. in ECCM 2016 - Proceeding of the 17th European Conference on Composite Materials. European Society for Composite Materials, 17th European Conference on Composite Materials, ECCM 2016, Munich, Germany, 26/06/16.
Sandhu A, Dodwell TJ, Butler R. An automated image processing algorithm to determine wrinkle characteristics from B-scans. In ECCM 2016 - Proceeding of the 17th European Conference on Composite Materials. European Society for Composite Materials. 2016
Sandhu, A ; Dodwell, T. J. ; Butler, R. / An automated image processing algorithm to determine wrinkle characteristics from B-scans. ECCM 2016 - Proceeding of the 17th European Conference on Composite Materials. European Society for Composite Materials, 2016.
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