REaL-tIme characterization of ANisotropic Carbon-based tEchnological fibres, films and composites

Projektinformationen

RELIANCE

ID Finanzhilfevereinbarung: 101073040

DOI

10.3030/101073040

EK-Unterschriftsdatum 14 Juli 2022

Startdatum 1 Februar 2023

Enddatum 31 Januar 2027

Finanziert unter

• Marie Skłodowska-Curie Actions (MSCA)

Gesamtkosten

Keine Daten

EU-Beitrag

€ 2 854 965,60

Koordiniert durch

DANMARKS TEKNISKE UNIVERSITET
Denmark

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Leistungen

Documents, reports (3)

Methodology for simulations ex-situ based CT measurements

A modelling framework that is complementary to the already envisaged ray-tracing simulation.

SAXS/WAXS measurement of yarn samples

PSI, DTU and Xenocs will measure yarn samples at synchrotron beam lines, and on laboratory SAXS/WAXS equipment. The instrumental parameters will be optimized in order to highlight the differences between the samples. Raw images will be used by DTU for analysis in work package 3.

X-ray imaging measurement of composite samples

Samples from FIB measured on existing tomography equipment.

Other (3)

Advertisement of vacancies
1st Summer School
1st and 2nd workshops

Demonstrators, pilots, prototypes (6)

Methodology for quantifying micro- and nano-structure of a material from X-ray scattering
Demonstrator of real-time reconstruction algorithm for X-ray refocusing from limited-angle data (…)

Demonstrator of real-time reconstruction algorithm for X-ray refocusing from limited-angle data with open-source software

Demonstrator of real-time reconstruction algorithm for sparse X-ray scattering data (…)

Demonstrator of real-time reconstruction algorithm for sparse X-ray scattering data with open-source software

A demonstrator case establishing a link (…) with material micro- and nano-structure measured (…)

A demonstrator case establishing a link between mock product line parameters and material micro- and nano-structure measured by the methodology developed in D3.1.

Build a (…) mechanistic digital twin of (…) fibre yarns

Build a physics/mechanistic digital twin of the carbon-based fibre yarns.

Virtual geometrical model (digital twin) of a composite

Virtual geometrical models (digital twins) of various fiber composites

Veröffentlichungen

Peer reviewed articles (3)

From 3D X-ray CT scans to mesh-independent numerical compressive strength predictions of unidirectional carbon fiber composites

Autoren: Pinelopi Mageira, Konstantinos Poulios, Jens W. Andreasen, Vedrana A. Dahl, Lars P. Mikkelsen
Veröffentlicht in: IOP Conference Series: Materials Science and Engineering, Ausgabe 1338, 2025, ISSN 1757-8981
Herausgeber: IOP Publishing
DOI: 10.1088/1757-899X/1338/1/012026

Synthetic, automatically labelled training data for machine learning based X-ray CT image segmentation: Application to 3D-textile carbon fibre reinforced composites

Autoren: Johan Friemann; Lars P. Mikkelsen; Carolyn Oddy; Martin Fagerström
Veröffentlicht in: Composites Part B: Engineering, Ausgabe Vol 305, 112656, 2025
Herausgeber: ELSEVIER
DOI: 10.1016/J.COMPOSITESB.2025.112656

Incomplete multimodal industrial anomaly detection via cross-modal distillation

Autoren: Wenbo Sui; Daniel Lichau; Josselin Lefèvre; Harold Phelippeau
Veröffentlicht in: Information Fusion, Ausgabe Vol 126, 103572, 2026
Herausgeber: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2405.13571

Conference proceedings (7)

AUTOMATED GENERATION OF LABELED SYNTHETIC TRAINING DATA FOR MACHINE LEARNING BASED SEGMENTATION OF 3D-WOVEN COMPOSITES

Autoren: Johan Friemann, Lars P. Mikkelsen, Carolyn Oddy, Martin Fagerström
Veröffentlicht in: Procedings of Proceedings of the 21st European Conference on Composite Materials, 2024
Herausgeber: European Society for Composite Materials
DOI: 10.60691/YJ56-NP80

Defect detection in carbon fiber-reinforced composites using directional dark-field imaging and tomography

Autoren: Slyamov, Azat; van Roosmalen, Adriaan; Pedersen, Mads A.; Nielsen, Kenneth K.; Ferguson, Ole V.; Mikkelsen, Lars P.; Lauridsen, Erik
Veröffentlicht in: IOP Conference Series: Materials Science and Engineering, Ausgabe Vol 1293, 012016, 2023
Herausgeber: IOP Conference Series
DOI: 10.1088/1757-899X/1293/1/012016

FibreTracker: Open-source 3D Python Tool for Fibre Tracking

Autoren: Pooja, Kumari; Mikkelsen, Lars P.; Dahl, Anders B.; Dahl, Vedrana A.
Veröffentlicht in: Proceedings of the 21st European Conference on Composite Materials
Herausgeber: European Society for Composite Materials

Characterising the compressive failure in 3D printed unidirectional Thermoplastic composites by Synchrotron CT

Autoren: Kohli, A., Paul, P.P., Rack, A., Almeida Jr., J.H.S., Potluri, P. and Withers, P.J.
Veröffentlicht in: Proceedings of the 21st European Conference on Composite Materials, Ausgabe Vol 8, p1031-1039, special sessions, 2024
Herausgeber: The European Society for Composite Materials (ESCM) and the Ecole Centrale de Nantes
DOI: 10.60691/YJ56-NP80

EVALUATION OF DIGITAL TOMOSYNTHESIS FOR IN-LINE IMAGING OF CARBON FIBRE-REINFORCED COMPOSITES

Autoren: Bose, Sudip; Contino, Matteo; Helps, Oliver; Evans, Elizabeth; Potluri, Prasad; Withers, Philip
Veröffentlicht in: Proceedings of the 21st European Conference on Composite Materials, Ausgabe Vol 8, 785, 2024
Herausgeber: European Society for Composite Materials
DOI: 10.60691/YJ56-NP80(3)

Finite element predictions of in-situ 3d x-ray ct determined compression failure of uni-directional composites

Autoren: Pinelopi Mageira, Ole V. Ferguson, Konstantinos Poulios, Kathrine Nelms 3, Philip J. Withers, Lars P. Mikkelsen
Veröffentlicht in: Proceedings of the 21st European Conference on Composite Materials, Ausgabe Vol 8, 385, 2024
DOI: 10.60691/YJ56-NP80(4)

Experimental and numerical compression analysis of 3D X-ray CT scanned uni-directional pultruded carbon fiber composites

Autoren: Pinelopi Mageira, Konstantinos Poulios, Jens W. Andreasen, Vedrana A. Dahl, Lars P. Mikkelsen
Veröffentlicht in: Proceedings of 24th International Conference on Composite Materials, 2025
Herausgeber: Proceedings of 24th International Conference on Composite Materials