CORDIS · ADDOPTML
ADDitively Manufactured OPTimized Structures by means of Machine Learning
- Code
ADDOPTML- Programme
- H2020
- Call
MSCA-RISE-2020- Status
- CLOSED
- Period
- 2021-05-01 – 2025-04-30
Official data · CORDIS · synced 2026-10-17 10:16 · official record
Participants
| Organisations | Role | Country | Grant |
|---|---|---|---|
| ETHNICON METSOVION POLYTECHNION | coordinator | EL | 1 113 200 € |
| TSAKALIS KAI SIA OE | participant | EL | 230 000 € |
| KATASKEVES & ESTHITIRES IDIOTIKI KEFALAIOUXIKI ETAIREIA | participant | EL | 230 000 € |
| RISA SICHERHEITSANALYSEN GMBH | participant | DE | 230 000 € |
| POLITECNICO DI TORINO | participant | IT | 184 000 € |
| VRIJE UNIVERSITEIT BRUSSEL | participant | BE | 92 000 € |
| ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON | participant | EL | 73 600 € |
| UNIVERSITY OF CYPRUS | participant | CY | 73 600 € |
| IDEA75 SRL | participant | IT | 50 600 € |
| INOVASFERA OOD | participant | BG | 46 000 € |
| EUROPEAN FEDERATION FOR WELDING JOINING AND CUTTING | participant | BE | 36 800 € |
| UNIVERSITY OF STUTTGART | participant | DE | 27 600 € |
| FUNDACION IDONIAL | participant | ES | 23 000 € |
| MX3D BV | participant | NL | 0 € |
| SPACE APPLICATIONS SERVICES NV | participant | BE | 0 € |
| JORDAN UNIVERSITY OF SCIENCE AND TECHNOLOGY | partner | JO |
Description
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.
Official data · CORDIS · synced 2026-10-17 10:16 · official record · Licence: © European Union, CC BY 4.0 (Commission reuse policy).