Development of a multifunctional system for complex aerostructures ASSembly, ASSisted by Neural Network
In today’s workplace, the increasing use of new technologies such as Artificial Neural NeIn today’s workplace, the increasing use of new technologies such as Artificial Neural Networks (ANN) in Artificial Intelligence (AI), Mixed...
In today’s workplace, the increasing use of new technologies such as Artificial Neural NeIn 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.ver más
17-09-2024:
HORIZON-CL5-2024-D4-02-05
Se abre la línea de ayuda pública: Digital solutions to foster participative design, planning and management of buildings, neighbourhoods and urban districts (Built4People Partnership)
Seleccionando "Aceptar todas las cookies" acepta el uso de cookies para ayudarnos a brindarle una mejor experiencia de usuario y para analizar el uso del sitio web. Al hacer clic en "Ajustar tus preferencias" puede elegir qué cookies permitir. Solo las cookies esenciales son necesarias para el correcto funcionamiento de nuestro sitio web y no se pueden rechazar.
Cookie settings
Nuestro sitio web almacena cuatro tipos de cookies. En cualquier momento puede elegir qué cookies acepta y cuáles rechaza. Puede obtener más información sobre qué son las cookies y qué tipos de cookies almacenamos en nuestra Política de cookies.
Son necesarias por razones técnicas. Sin ellas, este sitio web podría no funcionar correctamente.
Son necesarias para una funcionalidad específica en el sitio web. Sin ellos, algunas características pueden estar deshabilitadas.
Nos permite analizar el uso del sitio web y mejorar la experiencia del visitante.
Nos permite personalizar su experiencia y enviarle contenido y ofertas relevantes, en este sitio web y en otros sitios web.