Data and METAdata for advanced digitalization of manuFACTURING industrial lines

Informations projet

MetaFacturing

N° de convention de subvention: 101091635

DOI

10.3030/101091635

Projet clôturé

Date de signature de la CE 29 Novembre 2022

Date de début 1 Janvier 2023

Date de fin 31 Decembre 2025

Financé au titre de

• Digital, Industry and Space

Coût total

€ 5 768 142,75

Contribution de l’UE

€ 4 997 759,13

Coordonné par

KATHOLIEKE UNIVERSITEIT LEUVEN
Belgium

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (8)

AI and hybrid models for industrial ML

A document outlining the methodology for setting up AI and hybrid (AI+first principle) models in the context of industrial problems, focussing on reliability and scalability.

Continuum thermal material identification approach

A document outlining the DT based material identification approach. This document will both contain the theory, as well as guidelines and overview of the software setup to perform this identification.

Measures to guarantee valuable validation results

A report outlining the main KPI which will be considered for the MetaFacturing developments, as well as their target values to yield economic viability.

CHADA testing documentation

This document outlines how the various testing procedures, identification methods and obtained parameters for the materials can be converted into description files consistent with the CHADA standard.

D&C Plan and progress report

A detailed dissemination and communication plan, together with the project progress report. Updates will be provided at M18 and M36.

Definition of integrated data consolidation

A document outlining the formatting requirements for the various data (streams) to guarantee inter-operability of the developed (sub)systems.

Operational, functional and usability requirements

A report to outline the various requirements for the MetaFacturing developments. This document will be updated as the development and validation continues and a final version is scheduled for M26.

Schedule and integration concept

A detailed deployment plan for the developed (and under development) MetaFacturing toolchain on the two industrial scale use cases.

Demonstrators, pilots, prototypes (1)

Final Requirements Update

A report on the requirements of effective MetaFacturing system, starting from the lesson learned on the serial production use cases.

Data Management Plan (1)

Project manag. handbook, quality plan and DMP

A document outlining the project management approach, as well as a data-management plan to ensure an efficient and safe exchange of data and models between the project and external partners.

Publications

Peer reviewed articles (2)

Innovative Data Models: Transforming Material Process Design and Optimization

Auteurs: Amir M. Horr; Matthias Hartmann; Fabio Haunreiter
Publié dans: Metals, 2025, ISSN 2075-4701
Éditeur: MDPI
DOI: 10.3390/MET15080873

Insights on Weld Quality using Unsupervised Learning: Clustering of MIG/MAG Process Signals

Auteurs: Evans Doe Ocansey, Hannes Hinterbichler, Roxana-Maria Holom, Michael Araz
Publié dans: IOP Conference Series: Materials Science and Engineering, Numéro 1315, 2024, ISSN 1757-8981
Éditeur: IOP Publishing
DOI: 10.1088/1757-899X/1315/1/012003

Book chapters (4)

Industrial Artificial Intelligence

Auteurs: Roxana Holom, Evans Doe Ocansey, Paul Heinzlreiter, Sandra Wartner
Publié dans: ISBN 978-3-200-09843-5
Éditeur: ÖWGP Österreichische Wissenschaftliche Gesellschaft für Produktionstechnik

Declarative Programming Approaches for Robust Anomaly Detection in HPDC Process Data

Auteurs: Tomasz Piotr Michno, Roxana-Maria Holom, Sebastian Schmalzer, Pauline Meyer-Heye, Giulia Scampone, Elias Riegler, Matthias Hartmann, Urban Repanšek, Nejc Košir, Peter Šifrer
Publié dans: Lecture Notes in Networks and Systems, Distributed Computing and Artificial Intelligence, Special Sessions I, 22nd International Conference, 2026, ISSN 2367-3389
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-032-05745-7_4

Towards a Zero-Defect in Welding: An Exploration of Factors to Improve the Training Data for Image Classification

Auteurs: Negin Javanbakhtghahfarokhi, Angel J. Lopez, Jorge Rodríguez-Echeverría, Sidharta Gautama
Publié dans: Lecture Notes in Networks and Systems, Intelligent Systems and Applications, 2024
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-66329-1_30

Data Quality Strategies in Gas Metal Arc Welding Production for Machine Learning Applications

Auteurs: Jorge Rodríguez-Echeverría, Evans Doe Ocansey, Roxana-Maria Holom, Tomasz Piotr Michno, Hannes Hinterbichler, Pauline Meyer-Heye, José Neves, Martin Schnall, Matthias Hartmann, Sidharta Gautama
Publié dans: Lecture Notes in Networks and Systems, Distributed Computing and Artificial Intelligence, Special Sessions I, 21st International Conference, 2025
Éditeur: Springer Nature Switzerland
DOI: 10.20944/PREPRINTS202503.1190.V1

Conference proceedings (3)

Data Models for Casting Processes – Performances, Validations and Challenges

Auteurs: A M Horr, R Gómez Vázquez, D Blacher
Publié dans: IOP Conference Series: Materials Science and Engineering, Numéro 1315, 2024, ISSN 1757-8981
Éditeur: IOP Publishing
DOI: 10.1088/1757-899X/1315/1/012001

A physics-based welding digital twin for predicting temperature profiles under varying input parameters

Auteurs: Talha Saleh, Frank Naets
Publié dans: 19th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '25, Procedia CIRP, 2026, ISSN 2212-8271
Éditeur: Elsevier

Porosity Classification in High Pressure Die Casting using Thermal Images and Sensor Data Fusion via Fuzzy Cognitive Maps

Auteurs: Tomasz Michno, Roxana Holom, Sebastian Schmalzer, Giulia Scampone, Elias Riegler, Matthias Hartmann, Urban Repanšek, Nejc Košir, Peter Šifrer, Katarzyna Poczęta
Publié dans: 2026
Éditeur: SCITEPRESS

Other (1)

Automated Execution of Data Pipelines based on Configuration Files.

Auteurs: Károly Bósa; Paul Heinzlreiter
Publié dans: Open Research Europe, 2025
Éditeur: European Commission
DOI: 10.12688/OPENRESEUROPE.21019.1