intelligent Weld inspection

Informazioni relative al progetto

iWeld

ID dell’accordo di sovvenzione: 101061359

Data della firma CE 7 Giugno 2022

Data di avvio 1 Ottobre 2022

Data di completamento 31 Ottobre 2026

Finanziato da

• Euratom Research and Training Programme (EURATOM)

Costo totale

€ 1 386 058,75

Contributo UE

€ 1 161 136,00

Coordinato da

ELECTRICITE DE FRANCE
France

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

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 (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.

Pubblicazioni

Peer reviewed articles (5)

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

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

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

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

Reactor performance, system reliability: instrumentation and control

Autori: Andreas Schumm, Mohamed Ben Chouikha, Bastien Poubeau
Pubblicato in: EPJ Nuclear Sciences & Technologies, Numero 11, 2025, ISSN 2491-9292
Editore: EDP Sciences
DOI: 10.1051/EPJN/2025039

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

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

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

Autori: Ali Boukham, Jordan Barras, Maxance Marmonier, Nicolas Leymarie
Pubblicato in: Acta Acustica, Numero 10, 2026, ISSN 2681-4617
Editore: 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

Autori: Machado, L.Q, Michal Kalkowski, Michael Lowe
Pubblicato in: ASNT Research Symposium, Numero 32, 2024
Editore: ASNT

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

Autori: Machado, L.Q, Thomas Blumensath, Michael Lowe, Michal Kalkowski
Pubblicato in: Annual Review of Progress in QNDE, Numero 52, 2025
Editore: ASME