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

Project Information

xCTing

Grant agreement ID: 956172

DOI 10.3030/956172

EC signature date 27 August 2020

Start date 1 March 2021

End date 28 February 2025

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 3 884 707,08

EU contribution € 3 884 707,08

Coordinated by

KATHOLIEKE UNIVERSITEIT LEUVEN
Belgium

Deliverables

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

Author(s): M. Yosifov; M. Reiter; S. Heupl; C. Gusenbauer; B. Fröhler; R. Fernández- Gutiérrez; J. De Beenhouwer; J. Sijbers; J. Kastner; C. Heinzl
Published in: Nondestructive testing and evaluation, Issue 1, 2022, ISSN 1058-9759
Publisher: 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

Author(s): Miroslav Yosifov, Patrick Weinberger, Bernhard Fröhler, Bernhard Plank, Johann Kastner, Christoph Heinzl
Published in: e-Journal of Nondestructive Testing (eJNDT), 2023, ISSN 1435-4934
Publisher: NDT.net

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

Author(s): Miroslav Yosifov, Patrick Weinberger, Michael Reiter, Fröhler Bernhard, Jan De Beenhouwer, Jan Sijbers, Johann Kastner, Christoph Heinzl
Published in: e-Journal of Nondestructive Testing (eJNDT), 2023, ISSN 1435-4934
Publisher: NDT.net

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

Author(s): Zhengrui Tao, Aditi Thanki, Louca Goossens, Ann Witvrouw, Bey Vrancken, Wim Dewulf
Published in: e-Journal of Nondestructive Testing (eJNDT), 2023, ISSN 1435-4934
Publisher: NDT.net

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

Author(s): Miroslav Yosifov, Michael Reiter, Sarah Rendl, Christian Gusenbauer, Ricardo Fernández Gutiérrez, Johann Kastner, Christoph Heinzl
Published in: e-Journal of Nondestructive Testing (eJNDT), Issue 27(3), 2022, ISSN 1435-4934
Publisher: NDT.net

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

Author(s): Patrick Weinberger, Miroslav Yosifov, Bernhard Fröhler, Johann Kastner, Christoph Heinzl
Published in: e-Journal of Nondestructive Testing (eJNDT), Issue 27(3), 2022, ISSN 1435-4934
Publisher: NDT.net

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

Author(s): Crhistian Raffaelo Baldo, Thiago Linhares Fernandes
Published in: e-Journal of Nondestructive Testing (eJNDT), 2023, ISSN 1435-4934
Publisher: NDT.net

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

Author(s): Maryam Bahrkazemi, Alexander Rohde, Jonathan Hess, Patricio Guerrero, Sven Gondrom-Linke, Wim Dewulf
Published in: e-Journal of Nondestructive Testing (eJNDT), 2023, ISSN 1435-4934
Publisher: NDT.net