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ADDOPTML

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ADDitively Manufactured OPTimized Structures by means of Machine Learning

Additive Manufacturing (AM) has attracted the interest of industry due to its potential for flexible and automated production of complex geometry objects, combined with minimizing the time required to develop new products. Accordi... ver más

30/04/2025

NATIONAL TECHNICAL...

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

ETHNICON METSOVION POLYTECHNION No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 19 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-12-16

MSCA-RISE-2020: Research and Innovation Staff Excha...

I+D

Cerrada hace 4 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

19 Participantes

NATIONAL TECHNICAL UNIVERSIT...

1.11M€ | Lider

KANUI TEXTIL

719.41K€ | Participante

DOGI INTERNACIONAL FABRICS

697.92K€ | Participante

POLITO

184.00K€ | Participante

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Duración del proyecto: 52 meses Fecha Inicio: 2020-12-16
Fecha Fin: 2025-04-30

Líder del proyecto

ETHNICON METSOVION POLYTECHNION No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Additive Manufacturing (AM) has attracted the interest of industry due to its potential for flexible and automated production of complex geometry objects, combined with minimizing the time required to develop new products. According to recent analysis, the market for AM products is projected to grow annually by 18%. Although AM technologies are an integral part of digitized industrial production and of the 4th industrial revolution, Architectural, Engineering & Construction Industry (AECI) is reluctant to adopt them in design and construction. While AECI has been a pillar industry since 80's, its scale and impact on the global economy expands continuously. This development is also associated with important drawbacks, including large contribution to waste production, huge energy consumption and severe environmental pollution. The recent Green New Deal for Europe sets as primary objective the reform of heavy industry, including AECI, which accounts for 40% of the energy consumed on the continent. The main tools for achieving this objective are to minimize both materials used and amount of AECI waste. The principal aim of ADDOPTML network is to create and validate a holistic machine learning aided, optimum design-manufacturing process of civil structures by developing strong synergies among a multi-disciplinary team of academic experts and SMEs from Belgium, Bulgaria, Cyprus, Germany, Greece, Italy, Jordan and Spain. This will be achieved by taking advantage of ongoing progress in AM technologies including recycled consumables, thus contributing to the European challenge to become the world's first climate-neutral bloc by 2050. As a primary application, an integrated structural design framework based on AM optimized structural elements for transitional structures will be developed, to address the shortage of hospital units faced by many countries as coronavirus pandemic continues to sweep the World and to develop novel human shelter structure for post-disaster housing.

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