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ADDitively Manufactured OPTimized Structures by means of Machine Learning

Projektbeschreibung

Mit maschinellem Lernen zu einer neuen Ebene der additiven Fertigung

Die rasante Expansion der Architektur-, Technik- und Bauindustrie weltweit trägt zu einem großen Abfallaufkommen, hohem Energieverbrauch und erheblicher Umweltverschmutzung bei. Der europäische Green Deal zwingt die Architektur-, Technik- und Bauindustrie dazu, den Materialverbrauch und die Abfallmenge zu minimieren. Die additive Fertigung ist ein flexibler und automatisierter Prozess, der Objekte mit komplexer Geometrie herstellen und so die Produktionszeit verringern kann. Das EU-finanzierte Projekt ADDOPTML wird einen umfassenden, auf maschinellem Lernen basierenden Entwurfsfertigungsprozess für zivile Strukturen entwickeln. Es wird Synergien zwischen multidisziplinären akademischen Fachleuten und KMUs aus Belgien, Zypern, Deutschland, Griechenland, Italien, Jordanien, den Niederlanden und Spanien fördern. Es wird sich auf die Weiterentwicklung von Technologien der additiven Fertigung stützen, einschließlich recycelter Verbrauchsmaterialien, um den Mangel an Krankenhauseinheiten während der COVID-19-Pandemie zu beheben.

Ziel

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, Cyprus, Germany, Greece, Italy, Jordan, Netherlands and Spain. This will be achieved 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.

Koordinator

ETHNICON METSOVION POLYTECHNION
Netto-EU-Beitrag
€ 1 113 200,00
Adresse
Heroon polytechniou 9 zographou campus
157 80 Athina
Griechenland

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