Enabling X-ray CT based Industry 4.0 process chains by training Next Generation research experts

Informations projet

xCTing

N° de convention de subvention: 956172

DOI 10.3030/956172

Date de signature de la CE 27 Août 2020

Date de début 1 Mars 2021

Date de fin 28 Février 2025

Financé au titre de

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coût total € 3 884 707,08

Contribution de l’UE € 3 884 707,08

Coordonné par

KATHOLIEKE UNIVERSITEIT LEUVEN
Belgium

Livrables

Documents, reports (1)

First peer-reviewed paper by ESR 1-15

First peerreviewed paper by ESR 115

Other (1)

Outreach activities performed by ESR1-15

Report of xCTing outreach activities performed by ESR1-15. This is to be updated at Month 42.

Websites, patent fillings, videos etc. (1)

Website

xCTing project website is up and running

Publications

Peer reviewed articles (1)

Probability of detection applied to X-ray inspection using numerical simulations

Auteurs: M. Yosifov; M. Reiter; S. Heupl; C. Gusenbauer; B. Fröhler; R. Fernández- Gutiérrez; J. De Beenhouwer; J. Sijbers; J. Kastner; C. Heinzl
Publié dans: Nondestructive testing and evaluation, Numéro 1, 2022, ISSN 1058-9759
Éditeur: Taylor & Francis
DOI: 10.6084/m9.figshare.19787122.v1

Conference proceedings (7)

Application of a modified 3D U-Net convolutional neural network architecture for the inspection of aerospace components

Auteurs: Miroslav Yosifov, Patrick Weinberger, Bernhard Fröhler, Bernhard Plank, Johann Kastner, Christoph Heinzl
Publié dans: e-Journal of Nondestructive Testing (eJNDT), 2023, ISSN 1435-4934
Éditeur: NDT.net

Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations

Auteurs: Miroslav Yosifov, Patrick Weinberger, Michael Reiter, Fröhler Bernhard, Jan De Beenhouwer, Jan Sijbers, Johann Kastner, Christoph Heinzl
Publié dans: e-Journal of Nondestructive Testing (eJNDT), 2023, ISSN 1435-4934
Éditeur: NDT.net

Porosity Prediction in Selective Laser Melting Combining Photodiode-based In-
Process Monitoring and X-CT

Auteurs: Zhengrui Tao, Aditi Thanki, Louca Goossens, Ann Witvrouw, Bey Vrancken, Wim Dewulf
Publié dans: e-Journal of Nondestructive Testing (eJNDT), 2023, ISSN 1435-4934
Éditeur: NDT.net

Probability of Detection applied to X-ray inspection using numerical simulations

Auteurs: Miroslav Yosifov, Michael Reiter, Sarah Rendl, Christian Gusenbauer, Ricardo Fernández Gutiérrez, Johann Kastner, Christoph Heinzl
Publié dans: e-Journal of Nondestructive Testing (eJNDT), Numéro 27(3), 2022, ISSN 1435-4934
Éditeur: NDT.net

The long journey to the training of a deep neural network for segmenting pores and fibers

Auteurs: Patrick Weinberger, Miroslav Yosifov, Bernhard Fröhler, Johann Kastner, Christoph Heinzl
Publié dans: e-Journal of Nondestructive Testing (eJNDT), Numéro 27(3), 2022, ISSN 1435-4934
Éditeur: NDT.net

CT-based dimensional metrology developments in Brazil: Current status and outlook

Auteurs: Crhistian Raffaelo Baldo, Thiago Linhares Fernandes
Publié dans: e-Journal of Nondestructive Testing (eJNDT), 2023, ISSN 1435-4934
Éditeur: NDT.net

Total Variation regularized reconstruction for enhancing the quality of few-view industrial computed tomography applied to image analysis

Auteurs: Maryam Bahrkazemi, Alexander Rohde, Jonathan Hess, Patricio Guerrero, Sven Gondrom-Linke, Wim Dewulf
Publié dans: e-Journal of Nondestructive Testing (eJNDT), 2023, ISSN 1435-4934
Éditeur: NDT.net