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A parametric study of segmentation thresholds for X-ray CT porosity characterisation in composite materials

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)10-24
Number of pages15
JournalComposites Part A: Applied Science and Manufacturing
Volume123
Early online date24 Apr 2019
DOIs
DateAccepted/In press - 23 Apr 2019
DateE-pub ahead of print - 24 Apr 2019
DatePublished (current) - 1 Aug 2019

Abstract

Porosity in composites is a critical manufacturing defect that leads to a reduction of mechanical performance. Non-destructive testing (NDT) techniques are used to inspect composites after manufacture to identify defects and to help assess their impact on mechanical performance. Micro X-ray computed tomography is a promising NDT technique which provides information about pore location, size and morphology. To identify and characterise voids, an image ‘segmentation’ must be applied to the full CT dataset, which is simply a rule-based decision about whether a voxel is inside a pore or not. This work uses a simple model to analyse and compare the effectiveness of previously accepted threshold methods for segmentation across a range of material and porosity parameters. A new CT-segmentation thresholding method is proposed and evaluated for characterising voids in a wider range of composites. The sources of uncertainties are investigated and recommendations are made to minimise these uncertainties.

    Research areas

  • A. Polymer-matrix composites (PMCs), B. Defects, D. Non-destructive testing

    Structured keywords

  • Composites UTC

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Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via Elsevier at https://doi.org/10.1016/j.compositesa.2019.04.029 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 367 KB, PDF document

    Embargo ends: 24/04/20

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    Licence: CC BY-NC-ND

  • Full-text PDF Supplementary Material (accepted author manuscript)

    Rights statement: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via Elsevier at https://doi.org/10.1016/j.compositesa.2019.04.029 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 2 MB, PDF document

    Embargo ends: 24/04/20

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    Licence: CC BY-NC-ND

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