ADDOPTML


ADDOPTML – ADDitively Manufactured OPTimized Structures by means of Machine Learning 


Programme:
 H2020 Agreement nº 101007595 _ MSCA-RISE-2020 Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE)

Objective: Additive manufacturing (also known as 3D printing) is an integral part of current digital industry concepts, and therefore a pillar of the so-called fourth industrial revolution. The Architecture, Engineering and Construction Industry is reluctant, however, to adopt additive manufacturing technologies in the design and construction of structural elements, such as buildings or bridges. Since the 1980s, this industry has been an important economic pillar, which has expanded and strengthened due to the phenomenon of globalization. This development is not without its problems, and the sector is a major energy consumer, as well as a major producer of waste and polluting elements. In this sense, the recent Green New Deal for Europe establishes as a primary objective the reform of heavy industry, which represents 40% of the energy consumed on the continent.
The main objective of ADDOPTML Network is to develop and test a comprehensive machine learning aided design and manufacturing process for civil structures, through the development of strong synergies between a multidisciplinary team of academic experts and SMEs from Belgium, Cyprus, Germany , Greece, Italy, Jordan, Holland and Spain. This will be achieved by leveraging continued progress in additive manufacturing technologies, including recycling consumables, as a means to address, among others, the great challenge of making Europe the world's first climate-neutral bloc by 2050. Furthermore, tailor-made As the coronavirus pandemic continues to sweep the world, many countries are facing a shortage of intensive care units and emergency rooms; Thus, an integrated structural design framework will be developed, based on the development of elements suitable for temporary use structures.

Consortium: Politecnico di Torino (POLITO), University of Cyprus (UCY), University of Suttgart (USTUTT), IDEA75, SPACEAPPS, IDONIAL, European Welding Federation (EWF), MX3D, STRUCTURES & SENSORS, RISA,  Vrije Universiteit Brussel (VUB), INFERSENCE, Jordan University of Science and Technology (JUST)

Duration: May 2021 – April 2025

Web: http://addoptml.ntua.gr/

       
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement nº 101007595