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Development of a multifunctional system for complex aerostructures ASSembly, ASSisted by Neural Network

AssAssiNN

Development of a multifunctional system for complex aerostructures ASSembly, ASSisted by Neural Network

Link to CORDIS:
Objectives: 

In today’s workplace, the increasing use of new technologies such as Artificial Neural Networks (ANN) in Artificial Intelligence (AI), Mixed and Augmented Reality (MR/AR) and Collaborative Robotic (Co-Robot) is helping to improve the productivity of many industries. Therefore, a future aircraft factory would be incomplete if essential technologies are not considered. It is, therefore, necessary to innovate the assembly and quality control processes of aerostructures taking advantage of the new support of these new technologies. This will help to achieve higher efficiency and quality in aircraft production and to reduce the risk of failures due to manual activities to zero.

The main objective of the ASSASSINN project is to develop and validate a robust multifunctional assembly cell able to assist manual activities as the installation of typical fuselage systems and equipment, including cabling through the cabin structures or the application of sealant. This cell will guide the worker using Mixed and Augmented Reality during the assembly and inspection processes. The worker will be assisted by a Co-Robot while Artificial Intelligence algorithm based on Neural Networks will check the quality of the results.

The solution proposed by ASSASSINN will take into consideration the driver factors indispensable for the industrialization: increased structural integration, reduced total costs and structural weight, enhanced multifunctional materials, reduced environmental impact and extended duration of aircraft life.

The project counts with a strong consortium composed of 3 different partners with complementary profiles and large expertise: two research centers, CEIT and SUPSI, with a background and expertise in MR/AR, robotics and artificial intelligence; and an aeronautic manufacturing engineering, HB Technology, who is strongly consolidated in the aircraft production and assembly sector.

Institution Type:
Institution Name: 
European Commission
Type of funding:
Programme Other: 
JTI-CS2-2019-CFP10-AIR-02-85 Development of a multifunctional system for complex aerostructures assembly, assisted by neural network softwares
Lead Organisation: 

Asociacion Centro Tecnologico Ceit

Address: 
PASEO MANUEL DE LARDIZABAL 15
20018 SAN SEBASTIAN
Spain
EU Contribution: 
€350,928
Partner Organisations: 

Hb Technology Srl

Address: 
PIAZZA BUFFONI 5
21013 GALLARATE VA
Italy
EU Contribution: 
€248,325

Scuola Universitaria Professionale Della Svizzera Italiana

Address: 
STABILE LE GERRE
6928 MANNO
Switzerland
EU Contribution: 
€300,000
Technologies: 
Development phase: