Proyectos I+D Europeos - Año 2022

AI DRIVEN INDUSTRIAL EQUIPMENT PRODUCT LIFE CYCLE BOOSTING AGILITY, SUSTAINABILITY AND RESILIENCE (AIDEAS)

aideas

Referencia: 101057294
Periodo de ejecución: 01/10/2022 - 30/09/2025
Tipo: I+D Colaborativa competitiva
Clave específica: 20220443
Importe:   539.056,00€
Entidad financiadora: COMISION DE LAS COMUNIDADES EUROPEA
Participantes: Díaz-Madroñero Boluda, Francisco Manuel; Juan-Pérez, Ángel Alejandro; Mateo-Casalí, Miguel Ángel; Fraile Gil, Francisco; Abrahao Gonzales, Silvia Mara; Andres, B.; Sanchis, R.; Ortiz Bas, Ángel; Perez-Cortes, Juan-Carlos; Pérez Bernabeu, Elena; Poler, R.; Mula, Josefa; Insfran, Emilio; Vallada Regalado, Eva
Web del proyecto: https://aideas-project.eu

Descripción:

Machinery industry in Europe is a basis for employment, growth and wealth, with around 3.2 million people employed. Industrial equipment is considered a key enabler for industrial development and the EU has a historically strategic position in this sector. However, it lives from a technological edge in a very competitive landscape. Hereby, it is crucial to provide all stakeholders of the EU with AI technologies that guarantee a resilient design, deployment and reuse of industrial equipment for an increased global competitiveness and a reinforcement of its industrial strategic autonomy and resiliency.
AIDEAS will develop AI technologies for supporting the entire lifecycle (design, manufacturing, use, and repair/reuse/recycle) of industrial equipment as a strategic instrument to improve sustainability, agility and resilience of the European machinery manufacturing companies. AIDEAS will deploy 4 integrated Suites: 1) Design: AI technologies, integrated with CAD/CAM/CAE systems, for optimising the design of industrial equipment structural components, mechanisms and control components; 2) Manufacturing: AI technologies for industrial equipment purchased components selection and procurement, manufactured parts processes optimisation, operations sequencing, quality control and customisation; 3) Use: AI technologies with added value for the industrial equipment user, providing enhanced support for installation and initial calibration, production, quality assurance and predictive maintenance for working on optimal conditions; 4) Repair-Reuse-Recycle: AI technologies for extending the useful life of machines through prescriptive maintenance (repair), facilitating a second life for machines through a smart retrofitting (reuse) and identification of the most sustainable end-of-life (recycle).
The AIDEAS Solutions will be demonstrated in 4 Pilots of machinery manufacturers that provide industrial equipment to different industrial sectors: metal, stone, plastic and food.