Projects overview
ETEKINA | HEAT PIPE TECHNOLOGY FOR THERMAL ENERGY RECOVERY IN INDUSTRIAL APPLICATIONS
01-10-2017
-30-09-2021
MARKET4.0 | A Multi-Sided Business Platform for Plug and Produce Industrial Product Service Systems
01-11-2018
-30-04-2022
As a customer, easy access to equipment manufacturers repositories or to manufacturing services. As an equipment or service provider, easy access to the market.
IDS RA configuration and implementation not only on a peer to peer basis, but creating a data space.
CyberFactory#1 | Addressing opportunities and threats for the Factory of the Future (FoF)
17-12-2018
-30-06-2022
ConnectedFactories 2 | Global-leading smart manufacturing through digital platforms, cross-cutting factors and skilled workforce
01-12-2019
-30-11-2022
ACCURATE | ACHIEVING RESILIENCE THROUGH MANUFACTURING AS A SERVICE, DIGITAL TWINS AND ECOSYSTEMS
01-12-2023
-30-11-2026
AMPS | Automated Mass Production of SOC Stacks
01-06-2023
-31-05-2027
DigiPrime | Digital Platform for Circular Economy in Cross-sectorial Sustainable Value Networks
01-01-2020
-31-12-2023
The Battery Pilot will aim at demonstrating that the DigiPrime platform can unlock a sustainable business case targeting the remanufacturing and re-use of second life Li-Ion battery cells with a cross-sectorial approach linking the e-mobility sector and the renewable energy sector, specifically focusing on solar and wind energy applications.
As the proactive exploitation of the DigiPrime platform enables the car-monitored SOH tracing and availability, less testing is needed to assess the residual capacity of the battery. Moreover, by knowing the structure of the battery packs, a decision support system can be implemented to adjust the de-and remanufacturing strategy accordingly and select the most proper cells for re-assembly second-life modules, thus unlocking a systematic circular value chain for Li-ion battery cells re-use. Furthermore, excessively degraded cells which cannot be re-used can be sent to high-value recycling, based on the knowledge of their material compositions.
SHOP4CF | Smart Human Oriented Platform for Connected Factories
01-01-2020
-31-12-2023
DIMOFAC | Digital Intelligent MOdular FACtories
01-10-2019
-31-03-2024
Main challenges identified are:
- Training the existing workforce to use the new technologies
- Support the start-up stages to overcome initial reluctance due to lack of knowledge and too many aspects to integrate, so that industrials does not know how to start
- Reassure and support manufacturers to better embrace innovative Industry 4.0 technologies through test-before-invest approach
- Creating positive image about the manufacturing industry in the new generation so that they are open to join manufacturing domain
- Use of standardisation and healthy collaborations
Training the existing workforce to use the new technologies is identified as a main challenge
RECLAIM | RE-manufaCturing and Refurbishment LArge Industrial equipMent
01-10-2019
-30-09-2023
SYNTECS | SustainablY aNd digiTally driven hiErarchical laser texturing for Complex Surfaces
01-12-2022
-30-11-2025
METAMORPHA | Made-to-measure micromachining with laser beams tailored in amplitude and phase
01-09-2022
-31-08-2026
Fluently | Fluently - the essence of human-robot interaction
01-06-2022
-31-05-2025
REMODEL | Robotic tEchnologies for the Manipulation of cOmplex DeformablE Linear objects
01-11-2019
-31-10-2023
MERGING | Manipulation Enhancement through Robotic Guidance and Intelligent Novel Grippers
01-11-2019
-31-10-2023
Arrowhead Tools | Arrowhead Tools for Engineering of Digitalisation Solutions
01-05-2019
-31-07-2022
MADEin4 | Metrology Advances for Digitized ECS industry 4.0
01-04-2019
-30-09-2022
Simplified and Efficient Selection of Suitable Manufacturing Equipment: For the equipment manufacturer, IDSRAM permits the trusted connection of the equipment repository with external apps (ESS), permitting (in a time-saving process) the best selection of a manufacturing equipment, thanks to accessible data that where not accessible before.
The MARKET4.0 Metal Domain Data Space propose two solutions: