intelligent Weld inspection

Projektinformationen

iWeld

ID Finanzhilfevereinbarung: 101061359

EK-Unterschriftsdatum 7 Juni 2022

Startdatum 1 Oktober 2022

Enddatum 31 Oktober 2026

Finanziert unter

• Euratom Research and Training Programme (EURATOM)

Gesamtkosten

€ 1 386 058,75

EU-Beitrag

€ 1 161 136,00

Koordiniert durch

ELECTRICITE DE FRANCE
France

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Documents, reports (7)

External project communication plan

The project communication plan also covers the project's public website.

Simplified Weld Model

D2.1 delivers a simplified weld model, in order to overcome the limitation that full microstructure simulations are too costly to generate the number of datasets necessary to train an AI model. The deliverable describes a simplified procedure mapping a calculation of the vicinity of the thermal source to larger areas, according to defined welding conditions.

Weld uncertainty study for a chosen use case

D3.1 summarizes the weld uncertainty study for a chosen use case, determining the most relevant welding parameters and the expected confidence for associated tolerances, to answer the question of how accurate the orientation map needs to be for accurate imaging of ultrasound acquisition data.

Weld database

D1.1 delivers a database of industrially relevant weld shapes (V, X, K, J, etc.), welding techniques (TIG, SMAW) and positions (0, 90, etc.), including tolerances and typical uncertainties.

AI-based Weld Model

D2.2 constitutes an AI based weld model, which is delivered in the form of a public report and a partially public simulated database.

Demonstration of adaptive imaging on chosen samples

D4.1 presents experimental investigations of techniques developed on a particular set of samples

TRL Workshop

D5.1 provides a detailed assessment of the TRL level of the object of each task at the start of the project, as well as the targeted TRL level at the end of the project. The report summarizes the outcome of a TRL workshop to be held during the kick-off meeting.

Demonstrators, pilots, prototypes (1)

Inversion Methodology and demonstration

D3.2 demonstrates the developed inversion methodology and demonstrates it numerically on grain scale models. This deliverable is related to D4.1, which provides the practical demonstration on manufactured welds.

Veröffentlichungen

Peer reviewed articles (5)

Simulating ultrasonic inspections of welds with complex microstructure: a contribution to the IWELD European project

Autoren: null null, Christophe Reboud, null null, Roberto Miorelli, null null, Nicolas Leymarie, null null, Frédéric Costes, null null, Chengdan Xue, null null, Edourad Demaldent
Veröffentlicht in: e-Journal of Nondestructive Testing, Ausgabe 30, 2025, ISSN 1435-4934
Herausgeber: NDT.net GmbH & Co. KG
DOI: 10.58286/32341

Model-based deep neural network inversion for ultrasonic reconstruction of thick-section welds

Autoren: Lucas Q. Machado, Thomas Blumensath, Vykintas Samaitis, Michael J.S. Lowe, Michał K. Kalkowski
Veröffentlicht in: NDT & E International, Ausgabe 163, 2026, ISSN 0963-8695
Herausgeber: Elsevier BV
DOI: 10.1016/J.NDTEINT.2026.103775

Reactor performance, system reliability: instrumentation and control

Autoren: Andreas Schumm, Mohamed Ben Chouikha, Bastien Poubeau
Veröffentlicht in: EPJ Nuclear Sciences & Technologies, Ausgabe 11, 2025, ISSN 2491-9292
Herausgeber: EDP Sciences
DOI: 10.1051/EPJN/2025039

Simulating ultrasonic inspections of welds with complex microstructure: a contribution to the IWELD European project

Autoren: null null, Christophe Reboud, null null, Roberto Miorelli, null null, Nicolas Leymarie, null null, Frédéric Costes, null null, Chengdan Xue, null null, Edourad Demaldent
Veröffentlicht in: e-Journal of Nondestructive Testing, Ausgabe 30, 2025, ISSN 1435-4934
Herausgeber: NDT.net GmbH & Co. KG
DOI: 10.58286/32341

Improving defect detection of nuclear welds using adaptive imaging based on uncertain material parameters optimization

Autoren: Ali Boukham, Jordan Barras, Maxance Marmonier, Nicolas Leymarie
Veröffentlicht in: Acta Acustica, Ausgabe 10, 2026, ISSN 2681-4617
Herausgeber: EDP Sciences
DOI: 10.1051/AACUS/2026069

Conference proceedings (2)

Ultrasound propagation in materials with elongated grains and preferential orientation: parameter analysis and complex tensor determination

Autoren: Machado, L.Q, Michal Kalkowski, Michael Lowe
Veröffentlicht in: ASNT Research Symposium, Ausgabe 32, 2024
Herausgeber: ASNT

Ultrasonic characterisation of thick section welds assisted by AI and ray-based methods

Autoren: Machado, L.Q, Thomas Blumensath, Michael Lowe, Michal Kalkowski
Veröffentlicht in: Annual Review of Progress in QNDE, Ausgabe 52, 2025
Herausgeber: ASME