Aeronautics
The project focused on the development of highly automated on-line and off-line inspection and control technologies for production processes, which have enabled a significant reduction in production costs, increasing the competitiveness of the industrial partners in the project.
The MAIPCO project concerns defect analysis in the production of complex composite components in the aeronautical sector and has developed new methodologies to reduce these defects.
1. An automatic artificial vision and signal analysis system with robotic movement (AVRIS) for the validation of assemblies (fuselage, transmission systems, stabilizer, fin);
2. The AVRIS System automatically identifies the presence / absence of the parts, their correct installation and the presence of the fixings.
EnginSoft was involved in developing a methodology to manage the paths of Remote Piloted Aircraft Systems with respect to unforeseen events.
DTA - DISTRETTO TECNOLOGICO AEROSPAZIALE, AGUSTA WESTLAND, ALENIA AERMACCHI SPA, CETMA - TECHNOLOGIES DESIGN AND MATERIALS EUROPEAN RESEARCH CENTRE, ENGINSOFT SPA, UNIVERSITÀ DEL SALENTO
Funding Scheme MIUR Programma Operativo Nazionale (PON 03) “Ricerca e Competitività” | Call identifier MIUR DD 713/Ric. Del 29/10/2013
28 months
2015 - 2018
Distretto Tecnologico Aerospaziale (DTA) scarl
Vito Primavera
6
Some of our competences in research and technology transfer
Research project
The ReCaM-project demonstrates at TRL 7 a set of integrated tools for the rapid and autonomous reconfiguration of agile production systems
Research project
The VOLPE project aims to engineer and industrialize an innovative optoelectronic instrument to detect explosive compounds in volatile form that can be integrated with commercial systems for screening hand luggage, and capable of operating independently.
Research project
RLW is emerging as a promising joining technology for sheet metal assembly due to benefits on several fronts including reduced processing time, (50-75%) and decreased factory floor footprint (50%), reduced environmental impact through energy use reduction (60%), and providing a flexible process base for future model introduction or product change.