Digital Intelligent MOdular FACtories

Informations projet

DIMOFAC

N° de convention de subvention: 870092

DOI 10.3030/870092

Projet clôturé

Date de signature de la CE 22 Août 2019

Date de début 1 Octobre 2019

Date de fin 31 Mars 2024

Financé au titre de

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing

Coût total € 19 133 232,49

Contribution de l’UE € 14 163 497,63

Coordonné par

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
France

Livrables

Documents, reports (9)

M36 Dissemination and Communication Plan (D&CP)

M36 Dissemination and Communication Plan DCP

M24 Dissemination and Communication Plan (D&CP)

M24 Dissemination and Communication Plan DCP

M36 Standardization strategy and report (SR)

M36 Standardization strategy and report SR

M6 Dissemination and Communication Plan (D&CP)
Portfolio of plug and produce modules
M36 Project Technical Progress Report
M24 Project Technical Progress Report
M12 Project Technical Progress Report
Modules pre-industrial scale deployment and testing

Modules preindustrial scale deployment and testing

Other (1)

Module hardware and software interfaces

Open Research Data Pilot (2)

M24 Data Management Plan (DMP)

M24 Data Management Plan DMP

M6 Data Management Plan (DMP)

Publications

Conference proceedings (5)

An OPC UA Model of the Skill Execution Interaction Protocol for the Active Asset Administration Shell

Auteurs: Aleksandr Sidorenko, Magnus Volkmann, William Motsch, Achim Wagner, Martin Ruskowski
Publié dans: Procedia Manufacturing, Numéro 23519789, 2021, Page(s) 191-199, ISSN 2351-9789
Éditeur: Elsevier
DOI: 10.1016/j.promfg.2021.10.027

Using Behavior Trees for Coordination of Skills in Modular Reconfigurable CPPMs

Auteurs: Sidorenko, Aleksandr, Jesko Hermann, and Martin Ruskowski
Publié dans: IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Numéro 06-09 September 2022, 2022, Page(s) 1-8, ISBN 978-1-6654-9997-2
Éditeur: IEEE
DOI: 10.1109/etfa52439.2022.9921558

Integrating AR based operator support features for reconfigurable production systems

Auteurs: Angelos Christos Bavelos, Dimosthenis Dimosthenopoulos, Thodoris Togias, Niki Kousi, Sotiris Makris,
Publié dans: Procedia CIRP, Numéro 22128271, 2022, Page(s) Pages 276-281, ISSN 2212-8271
Éditeur: Elsevier
DOI: 10.1016/j.procir.2022.02.191

Towards a Comprehensive Methodology for Modelling Submodels in the Industry 4.0 Asset Administration Shell

Auteurs: Cornelis Bouter; Monireh Pourjafarian; Leon Simar; Robert Wilterdink
Publié dans: 2021 IEEE 23rd Conference on Business Informatics (CBI), 2021, Page(s) pp. 10-19, ISBN 978-1-6654-2069-3
Éditeur: IEEE
DOI: 10.1109/cbi52690.2021.10050

A Library to Simulate Processes in the Factory Hall

Auteurs: Julia Gundermann, Torsten Blochwitz
Publié dans: Proceedings of the 15th International Modelica Conference 2023,, Numéro October 9-11 2023, 2023, Page(s) 357-374, ISBN 978-91-8075-505-4
Éditeur: Dirk Müller, Antonello Monti, and Andrea Benigni
DOI: 10.3384/ecp204357

Peer reviewed articles (2)

An adaptive, artificial intelligence-based chatter detection method for milling operations

Auteurs: Panagiotis Stavropoulos, Thanassis Souflas, Christos Papaioannou, Harry Bikas & Dimitris Mourtzis
Publié dans: The International Journal of Advanced Manufacturing Technology, Numéro 02683768, 2022, ISSN 0268-3768
Éditeur: Springer Verlag
DOI: 10.1007/s00170-022-09920-8

Architecture for Data Acquisition in Research and Teaching Laboratories

Auteurs: Walter Quadrini, Simone Galparoli, Domenico Daniele Nucera, Luca Fumagalli, Elisa Negri
Publié dans: Procedia Computer Science, Numéro 18770509, 2021, Page(s) Pages 833-842, ISSN 1877-0509
Éditeur: Elsevier
DOI: 10.1016/j.procs.2021.01.333

Other (1)

Representing the Virtual: Using AAS to Expose DigitalAssets

Auteurs: Coen van Leeuwen, Cornelis Bouter, Rick Hindriks, & Robert Wilterdink
Publié dans: 2022
Éditeur: Zenodo
DOI: 10.5281/zenodo.6646540