DigiPrime is a project that aims to make the circular economy more efficient by breaking down the barriers between different industries. It does this by providing a digital platform that allows companies to share information and collaborate on the recovery and reuse of materials and components. DigiPrime is being detailed in 20 use cases covering different European industrial sectors, such as automotive, renewable energy, electronics, textiles, and construction. It is also being validated through additional pilots in new sectors, funded through an open-call mechanism. The project is coordinated by Università Politecnico di Milano and involves 36 partners from 12 countries.

TROY contributes to the DigiPrime project by developing a tool health condition monitoring and prediction system, CNC TOOLS HEALTH. The project aims at the collection, analysis, and visualization of data on CNC tool use and wear, to estimate tool wear and support tool recycling, and reuse decisions by a cognitive digital twin. The project will demonstrate the DigiPrime platform to support a robust circular economy for CNC machines used to manufacture metal products. Selected existing VOS and OS services will be used for metal hydraulic products manufacturing by CNCs. New APIs will be added to DigiPrime services. Data collected from the supplier, raw material, production, CNC machines, IoT network, the ERP system, product, and the quality system will be analyzed to predict tool wear. Highly accurate tool wear predictions will support decisions on CNC cutting-edge replacement at the right time, using the right amount and type of tool replacement. As a result, the remanufacturing of the CNC will provide cost savings, increased product quality, increased OEE, and reduced scrap generated due to defective products. Aiming at developing a tool health condition monitoring and prediction system, CNC Tool Health will study relations between the condition of the tools and product quality.

This project has received funding from the European Union’s Horizon 2020 Framework Programme, DT-ICT-07-2018-2019 “Digital Manufacturing Platforms for Connected Smart Factories” topic, under Grant Agreement ID 873111.