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Conference paper

Insegt Fibre: A Powerful Segmentation Tool for Quantifying Fibre Architecture in Composites

In Proceedings of 2019 International Conference on Tomography of Materials & Structures — 2019

By Emerson, Monica Jane1,2; Jespersen, Kristine M.3,4,5; Wang, Ying6; Withers, Philip J.6; Dahl, Vedrana Andersen1,2,7; Conradsen, Knut1,2; Mikkelsen, Lars Pilgaard8,9; Dahl, Anders Bjorholm1,2

From

Department of Applied Mathematics and Computer Science, Technical University of Denmark1

Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark2

Wind Energy Materials and Components Division, Department of Wind and Energy Systems, Technical University of Denmark3

Composites Analysis and Mechanics, Wind Energy Materials and Components Division, Department of Wind and Energy Systems, Technical University of Denmark4

Department of Wind and Energy Systems, Technical University of Denmark5

University of Manchester6

Statistics and Data Analysis, Department of Applied Mathematics and Computer Science, Technical University of Denmark7

Composite Mechanics and Structures, Department of Wind Energy, Technical University of Denmark8

Department of Wind Energy, Technical University of Denmark9

Insegt Fibre is a tool for volumetric fibre segmentation, that is appropriate for densely packed fibres. The robustness to image quality of the underlying dictionary-based algorithm has opened up new opportunities for micro-structural characterisation of fibre-reinforced polymers. The recent user-friendly version of the robust fibre-detection algorithm makes image-based characterisation of fibrous materials simpler and more accessible.

Language: English
Year: 2019
Proceedings: 2019 International Conference on Tomography of Materials & Structures
Types: Conference paper
ORCIDs: Emerson, Monica Jane , Jespersen, Kristine M. , Dahl, Vedrana Andersen , Conradsen, Knut , Mikkelsen, Lars Pilgaard and Dahl, Anders Bjorholm
Keywords

Fibre orientations Fibre tracking Image segmentation X-ray computed tomography

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