If you are a maintenance provider dealing with worn-out crankshafts — this project developed a remanufacturing process that reduces programming time by up to 60% and increases product quality by up to 20%.
Digital and Robotic System for Remanufacturing Energy Equipment and Batteries
Imagine a high-tech clinic for broken industrial machinery where robots and AI diagnose exactly what is wrong. Instead of throwing away a massive wind turbine part or a car battery, this system cleans, fixes, and certifies them to be as good as new. It's like giving heavy machinery a second life with a digital birth certificate that proves its quality.
What needed solving
Companies struggle to trust the quality and origin of remanufactured energy parts. Current processes are often slow, lack traceability, and have high rework rates.
What was built
A digital marketplace with Digital Passports for parts, AI-driven quality control tools, and automated disassembly/reassembly mechatronics.
Who needs this
Who can put this to work
If you are a recycler dealing with faulty electric vehicle batteries — this project developed AI tools that localize anomalies 50% faster and improve the detection of tiny behavioral deviations by 30%.
If you are an operator dealing with damaged gearboxes — this project developed a system achieving up to 99% reuse rates and reducing lead times by 75%.
Quick answers
How does this affect the cost of raw materials?
Based on available project data, the system for wind turbine gearboxes can achieve up to 85% raw material savings potential.
Is this technology ready for industrial scale?
The project validates its technology through three industrial demo cases focusing on crankshafts, EV batteries, and wind turbine gearboxes.
What are the IP and licensing options?
Based on available project data, specific licensing terms are not listed, but the project delivers a marketplace for remanufactured products and services.
How is the quality of remanufactured goods guaranteed?
The project implements a Digital Passport-like set of information for each product to ensure full traceability and reliability for the end-user.
How long does it take to implement these improvements?
Based on available project data, the project period runs from 2024-01-01 to 2026-12-31, with specific lead time reductions of 75% noted for Demo 3.
Who built it
The consortium is heavily industry-driven with 10 industrial partners (62% ratio), including 5 SMEs, indicating a strong focus on commercial application rather than pure theory. With 16 partners across 10 European countries, the project has a broad geographic reach and a balanced mix of 2 universities and 3 research centers to support the technical development of the mechatronic and digital tools.
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