Computationally efficient method of tracking fibres in composite materials using digital image correlation

Amjad, Khurram ORCID: 0000-0002-9348-0335, Christian, William ORCID: 0000-0003-3638-7297, Dvurecenska, Ksenija ORCID: 0000-0003-0642-1095, Chapman, MG, Uchic, MD, Przybyla, Craig and Patterson, EA ORCID: 0000-0003-4397-2160 (2020) Computationally efficient method of tracking fibres in composite materials using digital image correlation. Composites Part A: Applied Science and Manufacturing, 129. p. 105683.

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Abstract

A computationally efficient method based on digital image correlation (DIC) has been introduced in this paper for fast and accurate characterisation of fibre orientation fields from a series of optical mosaics of a continuous fibre-reinforced composite (CFRC) specimen, which were obtained using a well-established automated serial sectioning technique. The newly developed method has the capability of determining fibre paths from the sequence of mosaics in scenarios where the serial section spacing between the adjacent mosaics is atypically large, resulting in shifts in the fibre locations on the order of 90 pixels or twelve fibre diameters. The performance of the proposed method was quantitatively compared with a state-of-the-art fibre-tracking algorithm based on a Kalman filter, by applying them to the mosaic sequences from two CFRC material specimens. It was demonstrated from the fibre-tracking results that the proposed DIC-based method outperformed the Kalman filter algorithm in terms of both reliability and speed.

Item Type:	Article
Uncontrolled Keywords:	Ceramic fibres, Carbon fibres, Microstructures, Optical microscopy
Depositing User:	Symplectic Admin
Date Deposited:	08 Nov 2019 09:30
Last Modified:	19 Jan 2023 00:20
DOI:	10.1016/j.compositesa.2019.105683
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3060951

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• Computationally efficient method of tracking fibres in composite materials using digital image correlation. (deposited 07 Nov 2019 11:17)
  • Computationally efficient method of tracking fibres in composite materials using digital image correlation. (deposited 08 Nov 2019 09:30) [Currently Displayed]