Hybrid Digital Twin for metal Additive Manufacturing
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Scrap is detected too late in the LPBF/AM production chain, wasting machine time and lead time. With 30–70% of component manufacturing costs in post-processing and NDT, absent in-situ quality control cost overruns and delays.
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Improved defect prediction driving Additive Manufacturing (AM) process control; reduced waste and AM component rework; foundation for closed-loop control and broader replication; Speed-up the calibration trials and the overal time to prepare Build Jobs using advanced simulation tools that predict deformation/residual-stress of the printed part.
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Scrap is detected too late in the LPBF/AM production chain, wasting machine time and lead time. With 30–70% of component manufacturing costs in post-processing and NDT, absent in-situ quality control cost overruns and delays.
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Improved defect prediction driving Additive Manufacturing (AM) process control; reduced waste and AM component rework; foundation for closed-loop control and broader replication; Speed-up the calibration trials and the overal time to prepare Build Jobs using advanced simulation tools that predict deformation/residual-stress of the printed part.
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Metal AM (LPBF): In-situ monitoring, predictive defect detection, parameter optimisation, residual-stress/deformation prediction via ROMs.
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Metal AM (LPBF): In-situ monitoring, predictive defect detection, parameter optimisation, residual-stress/deformation prediction via ROMs.
A cross-partner technical capability package delivering hybrid digital twin know-how—from testbed instrumentation and big-data pipelines to physics-based ROMs and AI defect detection—validated on metal 3D printers, using Laser-based Powder Bed Fusion (LPBF) process.
Digital Twins Best Practice Atlas
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Digital-twin know-how is scattered across projects, labs, and vendors, making it hard to find examples, benchmark outcomes, and replicate success. The Atlas centralises cases and practices, reducing fragmentation.
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Faster scouting and replication of DTs; promote a common DT terminology; reduce barriers related to DT adoption; evidence-based planning for GSF and partners; benchmarking visibility.
An interactive, web-based atlas that curates and visualises industrial Digital Twin applications across Europe, distilling transferable best practices, context, and implementation insights. Built with partners led by SSF, it enables discovery, comparison, and replication of proven digital-twin approaches.
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Digital Twin developers, Digital Twin research community, Digital Innovation Hubs, Smart Factories, Manufacturing Industry.
CORE Innovation Days
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Greece’s Industry-4.0 ecosystem is fragmented, with limited digital skills and few fora linking academia, industry and policy. CORE Innovation Days addresses this challenge by bridging several actors from the Industry 4.0 landscape and mobilising collaborations towards the development of new technologies that solve real industrial needs.
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Raises CORE’s scientific profile; accelerates Digital Twin adoption; sparks partnerships and pilots; mobilises investments; strengthens stakeholder engagement in the Greek Smart Factory.
A yearly Industry-4.0 conference and exhibition in Greece and Eastern Europe, organised by CORE, showcasing Industry 4.0 best practices, business cases and demonstrators. It is a catalysing event for networking, partnerships and project formation.
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Greek manufacturing sector, Eastern Europe manufacturing sector, European Industry 4.0 ecosystem.
Business model for Greek Smart Factory
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Greek manufacturers lack a financially viable model to access test-and-demo infrastructure and services akin to the Greek Smart Factory. Fragmented stakeholders, unclear value propositions, and lack of funding routes delay the wide adoption of Industry 4.0 technologies.
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Clear revenue and membership design; de-risked launch of the Greek Smart Factory; faster adoption; stronger academia-industry ties; replicable national roadmap.
A practical business model and implementation plan for establishing the Greek Smart Factory, co-developed by CORE with expert feedback from SSF. It defines value proposition, membership and revenue streams, governance, infrastructure, pilot demonstrators, and a five-year roadmap for launch, growth, and sustainable operation.
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Smart Factories ecosystem; Digital Innovation Hubs.
CORE Proposal-to-Project serious game
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Research teams struggle to convert ideas into fundable workplans; Public information about proposal-writing is scarce and practical training is not widely avaialble. The serious game standardises skills development, de-risks submissions, and improves pathway-to-funding.
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Hands-on gamified training; proposal step guidance; improves access to funding; reusable beyond Horizon Europe (e.g., private R&I projects).
An interactive training game that simulates the end-to-end journey from idea generation to high-quality Horizon Europe proposal development. It guides proposal development teams step-by-step through roles, workplans, budgets, and risks, supporting grant proposal writing and delivery.
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European research and technology organisations; corporate R&D teams, innovative manufacturers that want to explore cutting-edge technologies.
Proposal writing workshop
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Proposal-writing know-how is siloed; research teams lack structured, practical training and time to transform ideas into competitive concepts. The workshop standardises skills, aligns partners, and accelerates high-quality grant-funding proposals.
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Hands-on upskilling; faster concept maturation; higher funding success—three approvals after Workshop-1—and scalable training targeting 80 participants across partners.
Annual hands-on workshop that trains CORE’s partners to turn ideas into fundable Horizon Europe proposals through interactive concept development that includes scope, roles, workplans, budgets and risks.
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European research and technology organisations; corporate R&D teams.