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AUTO-TWIN | Data-driven method based on a process mining approach for Automated Digital Twin generation, operations, and maintenance in circular value chains

01-12-2022

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30-11-2025

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Description Space) IDS-based common data space, to promote and facilitate the secure and seamless exchange of manufacturing/product/business data within value-networks in a circular-economy ecosystem; 3) integrating
 Circular Data Space Result title Circular Data Space
 Data management plan Result description Data management plan T75

DiCiM | Digitalised Value Management for Unlocking the potential of the Circular Manufacturing Systems with integrated digital solutions

01-01-2023

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31-12-2026

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Description about the development of the full demonstrator of DiCiM, a set of integrated digital solutions that makes use of Internet of Things (IoT), Machine Learning (ML) based Artificial Intelligence (AI), Big Data
 Initial data management plan Result title Initial data management plan Result description project what data will be collected processed and generated which methodology standards will be applied whether data will be sharedmade open access and how data will be curated preserved including after

DaCapo | Digital assets and tools for Circular value chains and manufacturing products

01-01-2023

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30-06-2026

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Description A modular Digital Thread concept will be developed as a normalized method for orchestrating the gathering and contextualization of data at different points of the product lifecycle, enhancing data availability
Organisation INTERNATIONAL DATA SPACES EV
 Workshop at the EU Data Space 4.0 week Result title Workshop at the EU Data Space 4.0 week Result description The workshop aimed to explore the relationship between Digital Product Passports and Data spaces, and to enable the synergies between the four projects working on this topic: DaCapo, CIRPASS, Circular

LEVEL-UP | Protocols and Strategies for extending the useful Life of major capital investments and Large Industrial Equipment

01-10-2019

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30-09-2023

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Description LEVEL-UP will therefore comprise new hardware and software components interfaced with the current facilities through IoT and data-management platforms, while being orchestrated through eight (8) scalable
Organisation INTERNATIONAL DATA SPACES EV
Comments The data gathered will be utilized for the development of machine learning algorithms for shifting from preventive maintenance to predictive maintenance.
 Data Management Plan (DMP) Result title Data Management Plan (DMP)
 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...
 R&I Objective 1.1: Zero-defect and zero-downtime high-precision manufacturing, including predictive quality and non-destructive inspection methods Comments The data gathered will be utilized for the development of machine learning algorithms for shifting from preventive maintenance to predictive maintenance.

OPTIMAI | Optimizing Manufacturing Processes through Artificial Intelligence and Virtualization

01-01-2021

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30-06-2024

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Description Collected data are analysed using AI models for the early detection of defects and upstream causes of deficiencies.
 Data Management Plan - 2nd version Result title Data Management Plan - 2nd version Result description This deliverable will describe the adopted plan and measures for managing data within the project It will describe the processes and guidelines for managing the research data inside the project including
 Data Management Plan - 1st version Result description This deliverable will describe the adopted plan and measures for managing data within the project It will describe the processes and guidelines for managing the research data inside the project including

EASY-IMP | Collaborative Development of Intelligent Wearable Meta-Products in the Cloud

01-09-2013

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31-08-2016

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Description Sensorial data will be communicated to smart phones via Bluetooth or Wifi.
Comments Manufacturing future products Manufacturing the products of the future IoT - Internet of Things Technologies and enablers Information and communication technologies Digital manufacturing platforms - data
 Collaborative LAB for META-Product Development Result description The public area is intended for end-users and experts which use the products and upload usage data to the cloud.
 Digital manufacturing platforms - data platforms Taxon title Digital manufacturing platforms - data platforms
 RP 4.3 Mobile store and applications for an agile and open supply network Taxon description Responsiveness of stakeholders within a supply network can be increased and new business opportunities could be generated if the right kind of data is made available to the decision makers at the right

FLEXINET | Intelligent Systems Configuration Services for Flexible Dynamic Global Production Networks

01-07-2013

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30-06-2016

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Description The metaphor employed is ‘to start with an new business idea in the morning and have all required data and networks understood by the afternoon’ To achieve this FLEXINET takes the view that new product-service
 RP 2.13 M2M cloud connectivity for future manufacturing enterprises Taxon description would make consumption and processing of device data faster and more efficient.

PATHFINDER | European research and innovation agenda for future simulation and forecasting technologies

01-06-2013

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30-11-2014

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Description ; Reduce modelling effort; Modelling of complex problems; Multidisciplinary integrated modelling; Standardization.
 Domain 3: Digital, virtual and resource-efficient factories Taxon description granularity, zoom in and out functionalities, and real-time data acquisition from all the factory resources (i.e. assets, machines, workers and objects).

SIMUTOOL | Integrated design and novel tooling and process optimisation of microwave processing of composites

09-01-2015

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31-07-2019

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Description Integrated simulation/production data management. Production of composite parts using 30% less energy compared to conventional processes.
 Semantic Data Management for Experimental Manufacturing Technologies Result title Semantic Data Management for Experimental Manufacturing Technologies
 Periodic Reporting for period 2 - SIMUTOOL (Integrated design and novel tooling and process optimisation of microwave processing of composites) Result description The main concept of SIMUTOOL is the full modelling and simulation of the MW heating process using a combination of established modelling software packages (for the physicochemical phenomena) and CAD/CAE
 Domain 3: Digital, virtual and resource-efficient factories Taxon description granularity, zoom in and out functionalities, and real-time data acquisition from all the factory resources (i.e. assets, machines, workers and objects).

STREAM-0D | Simulation in Real Time for Manufacturing with Zero Defects

01-10-2016

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30-09-2020

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Description Moreover, the online deployment of ROMs and data gathering systems will generate big data which will be exploited through data analysis techniques for further improving the process.
 Investigating Data-Driven Systems as Digital Twins: Numerical Behavior of Ho–Kalman Method for Order Estimation Result title Investigating Data-Driven Systems as Digital Twins: Numerical Behavior of Ho–Kalman Method for Order Estimation

INTEGRADDE | Intelligent data-driven pipeline for the manufacturing of certified metal parts through Direct Energy Deposition processes

01-10-2018

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31-03-2023

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Description Combination of automatic topology optimisation algorithms for design, multi-scale process modelling, automated hardware-independent process planning, online control and distributed NDT for the manufacturing
Comments R&I Objective 1.6: Data ‘highways’ and data spaces in support of smart factories in dynamic value networks MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories
 AutomationML for Data Exchange in the Robotic Process of Metal Additive Manufacturing Result title AutomationML for Data Exchange in the Robotic Process of Metal Additive Manufacturing
 Periodic Reporting for period 2 - INTEGRADDE (Intelligent data-driven pipeline for the manufacturing of certified metal parts through Direct Energy Deposition processes) Result description INTEGRADDE Project stands for Intelligent data-driven pipeline for manufacturing metal parts through Direct Energy Deposition process.

DES-MOLD | Feature-Based Design and Modelling for Injection-molding Optimization

01-09-2012

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31-08-2015

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Description Des-MOLD will uses as a main source, past empirical industrial experiences and simulation data to optimize, at the design time, the geometries of the pieces and moulds according to the desired features
Comments highly standardized molds to customized products with small batches, it is possible to construct an intelligent knowledge-based system that uses as a main source, past empirical experiences and simulation data
 Final Report Summary - DES-MOLD (Feature-Based Design and Modelling for Injection-molding Optimization) Result title Final Report Summary - DES-MOLD (Feature-Based Design and Modelling for Injection-molding Optimization)
 System modelling - digital twins, simulation Taxon title System modelling - digital twins, simulation
 RP 3.1 Integrated factory models for evolvable manufacturing systems Taxon description getting a holistic overview of KPIs computed on collected data.
 Customised products Comments highly standardized molds to customized products with small batches, it is possible to construct an intelligent knowledge-based system that uses as a main source, past empirical experiences and simulation data
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