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

Informazioni relative al progetto

RELIANCE

ID dell’accordo di sovvenzione: 101073040

DOI

10.3030/101073040

Data della firma CE 14 Luglio 2022

Data di avvio 1 Febbraio 2023

Data di completamento 31 Gennaio 2027

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 2 854 965,60

Coordinato da

DANMARKS TEKNISKE UNIVERSITET
Denmark

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I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Conference proceedings (1)

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

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

Other (1)

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

Autori: Slyamov, Azat; van Roosmalen, Adriaan; Pedersen, Mads A.; Nielsen, Kenneth K.; Ferguson, Ole V.; Mikkelsen, Lars P.; Lauridsen, Erik
Pubblicato in: Slyamov , A , van Roosmalen , A , Pedersen , M A , Nielsen , K K , Ferguson , O V , Mikkelsen , L P & Lauridsen , E 2023 , Defect detection in carbon fiber-reinforced composites using directional dark-field imaging and tomography . in 43rd Risoe International Symposium on Materials Science . vol. 1293 , 012016 , IOP Publishing , IOP Conference Series: Materials Science and Engineering , 43rd Risø International Symposium on Materials Science , Risø, Roskilde , Denmark , 04/09/2023 . https://doi.org/10.1088/1757-899X/1293/1/012016, 2023