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Venegono Superiore, Italy

Alenia Aermacchi is an Italian aerospace company. A subsidiary of Finmeccanica, the company head office is in Venegono Superiore, Varese. It also maintains offices on the property of Turin Caselle Airport in San Maurizio Canavese, Province of Turin and Pomigliano d'Arco, Province of Naples. Wikipedia.


Patent
Alenia Aermacchi | Date: 2015-02-04

A method determines the tack of a material placed in contact with a surface. A sample is provided of the material, the sample including a sheet whose width increases from a first narrow end to a second wide end. The sample is applied to an upwards facing supporting surface of plate. The sample is compacted against the supporting surface of plate and a weight is attached to the first end of the sample. The plate is turned over in such a way that the supporting surface faces downwards. The detachment of the sample from the supporting surface is measured in terms of distance detached from the first end of the sample as a function of time.


Methods for manufacturing elongated structural elements are provided. Such methods provide composite material having optimal properties such as weight and strength which can be produced at much lower costs compared to conventional methods. Composite materials including such elements are also provided. In addition, commercial products incorporating such structural elements are provided.


Grant
Agency: Cordis | Branch: FP7 | Program: CP-IP | Phase: SEC-2012.3.5-1 | Award Amount: 14.44M | Year: 2014

The SUNNY project aims to contribute to EUROSUR by defining a new tool for collecting real-time information in operational scenarios. SUNNY represents a step beyond existing research projects due to the following main features: A two-tier intelligent heterogeneous UAV sensor network will be considered in order to provide both large field and focused surveillance capabilities, where the first-tier sensors, carried by medium altitude, long-endurance autonomous UAVs, are used to patrol large border areas to detect suspicious targets and provide global situation awareness. Fed with the information collected by the first-tier sensors, the second-tier sensors will be deployed to provide more focused surveillance capability by tracking the targets and collecting further evidence for more accurate target recognition and threat evaluation. Novel algorithms will be developed to analyse the data collected by the sensors for robust and accurate target identification and event detection; Novel sensors and on-board processing generation, integrated on UAV system, will be focus on low weight, low cost, high resolution that can operate under variable conditions such as darkness, snow, and rain. In particular, SUNNY will develop sensors that generate both RGB image, Near Infrared (NIR) image and hyperspectral image and that use radar information to detect, discriminate and track objects of interest inside complex environment with focus on the sea borders. Alloying to couple sensor processing and preliminary detection results (on-board) with local UAV control, leading to innovative active sensing techniques, replacing low level sensor data communication by a higher abstraction level of information communication. The exploitation and adaptation of emerging standard wireless technologies and architectures as IEEE 802.11a/g/n, IEEE 802.11p, DVB-T2, Mobile WiMAX, LTE, and Wi-Fi@700MHz will be considered due to their low cost and advantageous features.


Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: MG-1.1-2014 | Award Amount: 8.76M | Year: 2015

AGILE targets multidisciplinary optimization using distributed analysis frameworks. The involvement of many disciplinary analyses ranging up to high levels of fidelity and agile workflow management are considered to be state-of-the-art and starting point for AGILE. Advanced optimization techniques and strategies will be developed in order to exploit available computing systems and to gain faster convergence to optimal solutions. Surrogates, decomposition, robust design and uncertainties, global-local optimization, mixed fidelity optimization and system-of-system optimization are central fields of research. Operating the coupled numerical system and interpreting the high fidelity results requires collaboration of heterogeneous specialists. Techniques for collaboration are the second scientific objective of AGILE using the research on optimization techniques as use case. The interactions between humans and the interactions of the design team with the numerical system both are investigated. Knowledge-enabled information technologies will be developed in order to support the collaboration process constituting the third, outer-most layer of the nested research concept. Novel technologies are iteratively implemented, tested and enhanced. Use cases are realistic overall aircraft design tasks for conventional, strut-braced, box-wing and BWB configurations. The project is set up to proof a speed up of 40% for solving realistic MDO problems compared to todays state-of-the-art. The resulting technologies will be made available; amongst others via an Open MDO Test Suite. Reduced development costs and reduced time to market will enable a more agile way of collaboration and joint development and experimenting on innovative products. AGILE pronounces the collaboration of SME, RES and HES in order to contribute to IND-centred virtual extended enterprises. AGILE considers all pre-existing conventions and will contribute to the CRESCENDO results and dissemination plan.


Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: MG-1.4-2014 | Award Amount: 16.38M | Year: 2015

The EC Flight Path 2050 vision aims to achieve the highest levels of safety to ensure that passengers and freight as well as the air transport system and its infrastructure are protected. However, trends in safety performance over the last decade indicate that the ACARE Vision 2020 safety goal of an 80% reduction of the accident rate is not being achieved. A stronger focus on safety is required. There is a need to start a Joint Research Programme (JRP) on Aviation Safety, aiming for Coordinated Safety Research as well as Safety Research Coordination. The proposed JRP Safety, established under coordination of EREA, is built on European safety priorities, around four main themes with each theme consisting of a small set of projects. Theme 1 (New solutions for todays accidents) aims for breakthrough research with the purpose of enabling a direct, specific, significant risk reduction in the medium term. Theme 2 (Strengthening the capability to manage risk) conducts research on processes and technologies to enable the aviation system actors to achieve near-total control over the safety risk in the air transport system. Theme 3 (Building ultra-resilient systems and operators) conducts research on the improvement of Systems and the Human Operator with the specific aim to improve safety performance under unanticipated circumstances. Theme 4 (Building ultra-resilient vehicles), aims at reducing the effect of external hazards on the aerial vehicle integrity, as well as improving the safety of the cabin environment. To really connect and drive complementary Safety R&D (by EREA) to safety priorities as put forward in the EASA European Aviation Safety plan (EASp) and the EC ACARE Strategic Research and Innovation (RIA)Agenda, Safety Research Coordination activities are proposed. Focus on key priorities that impact the safety level most will significantly increase the leverage effect of the complementary safety Research and Innovation actions planned and performed by EREA.

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