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Description Improving industrial energy efficiency at European Manufacturing level requires the integration of energy data with advanced optimization techniques to guide a company decision making.
 Periodic Reporting for period 1 - E2COMATION (Life-cycle optimization of industrial energy efficiency by a distributed control and decision-making automation platform) Result title Periodic Reporting for period 1 - E2COMATION (Life-cycle optimization of industrial energy efficiency by a distributed control and decision-making automation platform) Result description The continuous increase in energy efficiency, supported by...
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Description The Mesomorph concept provides the means to overcome the following 4 main hurdles: The intrinsic physic of microsystems doesn't allow the simple downsizing of conventional technologies to industrialize
 Periodic Reporting for period 1 - Mesomorph (all-in-one machine for hybrid technologies enabling high value added multi-scale integrated micro.optoelectronics) Result title Periodic Reporting for period 1 - Mesomorph (all-in-one machine for hybrid technologies enabling high value added multi-scale integrated micro.optoelectronics) Result description Microelectromechanical systems, micro sensors, and microdevices in general are playing an ever-increasing role in revolutionizing the world around us; therefore, the capability to master these new technologies
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Description In-situ repair technologies and the redesign for new upgraded components will be facilitated through virtual simulations for increased performance and lifetime.
Comments   R&I Objective 2.2: De-manufacturing, re-manufacturing and recycling technologies for circular economy MIE Consultation 2020 (Closed) Specific Objective 2: Circular products & Climate-neutral
 Periodic Reporting for period 3 - LEVEL-UP (Protocols and Strategies for extending the useful Life of major capital investments and Large Industrial Equipment) Result description Nowadays, the deployment of digital technologies, connectivity and related large amounts of data, offers to companies...
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Description This project addresses the challenge of the manufacturing industry to deliver high-quality products at the necessary production rates while minimizing waste and energy consumption, maximizing efficiency
 Industrial Technologies 2022 Result title Industrial Technologies 2022
 Integration of Non-Destructive Inspection (NDI) systems for Zero-Defect Manufacturing in the Industry 4.0 era Result description Industry 4.0 paradigm and its enabling technologies, such as Internet of Things (IoT), have increased the potential of industrial automation with the growing implementation of Cyber-Physical Production
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Description It establishes a unique forum where separately maturing technologies of 5G and cloud-edge continuum, data technologies and analysis (including data spaces and GAIA-X) and operational technology (automation
Organisation NEUTROON TECHNOLOGIES SL
 Penetration and hypothesis testing diagnostic plugins.v1 Result description The implementation of the penetration tests to the integrated Zero-SWARM technologies, will be analyzed, as well as the implementation of a Hypothesis Testing tool - first version."""
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Description , 250 SMEs experimented with new technologies and collaborated with R&D partners and 50 SMEs received intensive business support.
 Modern Product Lifecycle Management Technologies Result title Modern Product Lifecycle Management Technologies
 Creating functionalities with laser texturing Result description New developments have made lasers cheaper, more compact, more energy efficient, enabling the emergence of new production technologies such as additive manufacturing, laser ablation, laser welding and laser
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Description Circular TwAIn will lower the barriers for all the stakeholders in manufacturing and process industry circular value chains to adopt and fully leverage of trusted AI technologies, in ways that will enable
 Petrol-Chemical Pilot: Hybrid Circular Twins for Process Industry Result description This pilot focuses on reducing the CO2 emissions and energy consumption that derive from the production of Ethylene Oxide and Ethylene Glycol by applying artificial intelligence and machine learning algorithms