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CORDIS - EU research results
CORDIS

Data and METAdata for advanced digitalization of manuFACTURING industrial lines

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Continuum thermal material identification approach (opens in new window)

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.

CHADA testing documentation (opens in new window)

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.

Definition of integrated data consolidation (opens in new window)

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

Schedule and integration concept (opens in new window)

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

Project manag. handbook, quality plan and DMP (opens in new window)

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

Innovative Data Models: Transforming Material Process Design and Optimization (opens in new window)

Author(s): Amir M. Horr; Matthias Hartmann; Fabio Haunreiter
Published in: Metals, 2025, ISSN 2075-4701
Publisher: MDPI
DOI: 10.3390/MET15080873

Insights on Weld Quality using Unsupervised Learning: Clustering of MIG/MAG Process Signals (opens in new window)

Author(s): Evans Doe Ocansey, Hannes Hinterbichler, Roxana-Maria Holom, Michael Araz
Published in: IOP Conference Series: Materials Science and Engineering, Issue 1315, 2024, ISSN 1757-8981
Publisher: IOP Publishing
DOI: 10.1088/1757-899X/1315/1/012003

Industrial Artificial Intelligence

Author(s): Roxana Holom, Evans Doe Ocansey, Paul Heinzlreiter, Sandra Wartner
Published in: ISBN 978-3-200-09843-5
Publisher: ÖWGP Österreichische Wissenschaftliche Gesellschaft für Produktionstechnik

Declarative Programming Approaches for Robust Anomaly Detection in HPDC Process Data (opens in new window)

Author(s): Tomasz Piotr Michno, Roxana-Maria Holom, Sebastian Schmalzer, Pauline Meyer-Heye, Giulia Scampone, Elias Riegler, Matthias Hartmann, Urban Repanšek, Nejc Košir, Peter Šifrer
Published in: Lecture Notes in Networks and Systems, Distributed Computing and Artificial Intelligence, Special Sessions I, 22nd International Conference, 2026, ISSN 2367-3389
Publisher: 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 (opens in new window)

Author(s): Negin Javanbakhtghahfarokhi, Angel J. Lopez, Jorge Rodríguez-Echeverría, Sidharta Gautama
Published in: Lecture Notes in Networks and Systems, Intelligent Systems and Applications, 2024
Publisher: 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 (opens in new window)

Author(s): 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
Published in: Lecture Notes in Networks and Systems, Distributed Computing and Artificial Intelligence, Special Sessions I, 21st International Conference, 2025
Publisher: Springer Nature Switzerland
DOI: 10.20944/PREPRINTS202503.1190.V1

Data Models for Casting Processes – Performances, Validations and Challenges (opens in new window)

Author(s): A M Horr, R Gómez Vázquez, D Blacher
Published in: IOP Conference Series: Materials Science and Engineering, Issue 1315, 2024, ISSN 1757-8981
Publisher: IOP Publishing
DOI: 10.1088/1757-899X/1315/1/012001

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

Author(s): Talha Saleh, Frank Naets
Published in: 19th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '25, Procedia CIRP, 2026, ISSN 2212-8271
Publisher: Elsevier

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

Author(s): Tomasz Michno, Roxana Holom, Sebastian Schmalzer, Giulia Scampone, Elias Riegler, Matthias Hartmann, Urban Repanšek, Nejc Košir, Peter Šifrer, Katarzyna Poczęta
Published in: 2026
Publisher: SCITEPRESS

Automated Execution of Data Pipelines based on Configuration Files. (opens in new window)

Author(s): Károly Bósa; Paul Heinzlreiter
Published in: Open Research Europe, 2025
Publisher: European Commission
DOI: 10.12688/OPENRESEUROPE.21019.1

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