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Optimization and performance improving in metal industry by digital technologies

Description du projet

Le secteur manufacturier s’intéresse aux technologies de surveillance intelligentes

La production de métaux a toujours été au cœur de la civilisation et, après l’âge du bronze et l’âge du fer, son évolution se poursuit. Aujourd’hui, la numérisation offre des possibilités remarquables pour la production d’acier et d’autres métaux non ferreux. Le projet INEVITABLE, financé par l’UE, se penche sur l’avenir de ce secteur. Son objectif est d’optimiser les processus de fabrication grâce à la numérisation complète de la technologie de surveillance. En effet, la mise en place d’un contrôle en temps réel au niveau des ateliers de fabrication permettrait d’améliorer considérablement l’efficacité des processus d’usinage ainsi que la qualité des pièces finies. Il permettrait également de réduire la consommation de ressources et les émissions de CO2, pour une industrie métallurgique plus compétitive et plus durable.

Objectif

The INEVITABLE Innovative Action aims to realize a fully digitalized monitoring technology for an optimized and improved performance of manufacturing processes. Use cases from the energy and resource intensive sectors steel and nonferrous metals are addressed, whereas the considered manufacturing sites are in Slovenia, Austria and Spain covering primary and secondary steelmaking and investment casting of nonferrous metal alloys.
The focus of INEVITABLE is to develop high-level supervisory control systems for different production plants and on the demonstration in operational environment (TRL 7) to enable autonomous operation of the processes based on embedded cognitive reasoning. Key Performance Indicators will be defined related to resource consumption and product qualities. Based on that, a full digital transformation of the plants will be done including acquisition, storage, processing and analytics of data streams, furthermore, communication and automation, and finally, standardization of relevant data interfaces. Predictive models will be developed being combined with smart and networked sensor technologies to correlate process parameters with quality indicators of the manufactured products. The models will be tested in offline mode on the one hand, and in online mode on the other hand by means of comprehensive plant trials at the industrial partner sites. Dissemination activities will transfer the knowledge throughout the SPIRE sectors. The industrial partners are supported by scientific partners with excellent competences in the field of digitalization.
INEVITABLE will improve the capabilities for reliable and real-time control logics of final product properties and process efficiency to increase the flexibility of plant operators. Improved and flexible production performance is expected with a simultaneous reduction of resource consumption and CO2 emissions contributing to a more competitive and sustainable metallurgic industry within the EU.

Appel à propositions

H2020-NMBP-ST-IND-2018-2020

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Sous appel

H2020-NMBP-SPIRE-2019

Régime de financement

IA - Innovation action

Coordinateur

INSTITUT JOZEF STEFAN
Contribution nette de l'UE
€ 565 875,00
Adresse
Jamova 39
1000 Ljubljana
Slovénie

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Région
Slovenija Zahodna Slovenija Osrednjeslovenska
Type d’activité
Research Organisations
Liens
Coût total
€ 565 875,00

Participants (12)