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Grant
Agency: Cordis | Branch: FP7 | Program: CP-FP | Phase: AAT-2007-1.1-03;AAT-2007-3.1-02 | Award Amount: 4.69M | Year: 2008

Helicopters can generate a large amount of external noise, as their traditional missions rescue, medical, law enforcement are very close to populated areas. As emphasised in ACARE SRA2, increasing rotorcraft missions in the public vicinity should not lead to increasing public disturbance. Turboshaft engine is known as a major contributor to exterior noise for take-off conditions. ACARE SRA2 objectives imply that noise reduction must be maximised for the most dominant engine noise source in flight. An increased knowledge of the exhaust sound sources balance is then required. Broadband noise at a turboshaft exhaust is assumed to be a mix between combustion and turbine noise. TEENI (Turboshaft Engine Exhaust Noise Identification) will find the relationship between engine modules (combustion chamber, HP Turbine, Power Turbine) and their broadband noise signature and will give a recommendation about the noise source to be reduced in priority. But noise sources breakdown is an ambitious goal, due to the complexity of the physics involved, the harsh environmental conditions, and the small space available. TEENI carries in parallel 4 objectives : 1. To develop sensors for fluctuating quantities, adapted to such an environment 2. To develop noise sources breakdown methods 3. To understand broadband noise generation and propagation through blade rows 4. To discriminate engine exhaust noise sources TEENIs workplan includes : - Innovative sensors development, - New noise sources breakdown techniques, - Basic studies, including rig experiments, to understand the propagation effects of broadband noise through blade rows. These tests will also help to verify noise breakdown techniques. - New instrumentation and source breakdown techniques will be applied to a full-scale engine test - Development in HELENA (from Friendcopter) of the source breakdown capability - Estimation with HELENA of the engine noise source to be reduced in priority in flight


Grant
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2009.3.5 | Award Amount: 2.89M | Year: 2010

The CLAM project aims at developing a collaborative embedded monitoring and control platform for submarine surveillance by combining cutting edge acoustic vector sensor technology, underwater wireless sensor network protocols, collaborative situation-aware reasoning and distributed signal processing techniques for horizontal and vertical linear sensor arrays. The result will be a cooperative, flexible and robust underwater sensing, reasoning and communication platform for online surveillance of submarine environments accommodating pervasively deployed heterogeneous sensor nodes deployed at different water depths, enabling sensing and actuating devices to exchange data, autonomously network together, and collaboratively and locally asses their observation environment and act upon. Horizontal and vertical collaboration between sensor arrays in form of collaborative routing and beam forming, sensor fusion and distributed processing and reasoning enables fine-grained monitoring of the submarine environment and collaborative event detection as well as transmission of the network information to the monitoring stations.\nCLAMs consortium has experience and knowledge needed to deliver, exploit, and commercialize a complete solution right from the sensor node platform design, collaborative communication and networking protocols, adaptive, robust and scalable collaborative data processing and reasoning, up to the application requirements and market analysis. Participation of the international, external advisory board in this project indicates that the demand and potential market for such monitoring platforms goes beyond Europe. This can offer Europe a great opportunity in becoming an international leader in this emerging area which is still very much in its infancy.


Fernandez Comesana D.,Microflown Technologies BV | Wind J.,Microflown Technologies BV
SAE Technical Papers | Year: 2011

There are several methods to capture and visualize the acoustic properties in the vicinity of an object. This article considers scanning PU probe based sound intensity and particle velocity measurements which capture both sound pressure and acoustic particle velocity. The properties of the sound field are determined and visualized using the following routine: while the probe is moved slowly over the surface, the pressure and velocity are recorded and a video image is captured at the same time. Next, the data is processed. At each time interval, the video image is used to determine the location of the sensor. Then a color plot is generated. This method is called the Scan and Paint method. Since only one probe is used to measure the sound field the spatial phase information is lost. It is also impossible to find out if sources are correlated or not. This information is necessary to determine the sound pressure some distance from the source, at the driver's ear for example. In this paper, the method of Scan and Paint is enhanced in such way that it is possible to handle partial correlated sources. The key of the novel method is having a pressure microphone at the listener position which is used as a reference sensor. With all this data, it is possible to derive the spatial phase of the sources measured relative to the listening position. Copyright © 2011 SAE International.


Grant
Agency: Cordis | Branch: FP7 | Program: CP-FP | Phase: AAT-2007-1.1-03;AAT-2007-3.1-02 | Award Amount: 5.28M | Year: 2008

Air traffic is predicted to grow by 5% per year in the short and medium term. Technology ad-vances are required to achieve this growth without unacceptable levels of noise. FLOCON addresses this issue by reducing fan noise at source through the development of innovative concepts based on flow control technologies. FLOCON is aimed primarily at reducing fan broadband noise. This is one of the most signifi-cant noise sources on modern aircraft and FLOCON provides one essential element of a wider effort by the industry to achieve established targets for noise reduction. Previous attempts at reducing broadband noise have been inhibited by a limited understand-ing of the dominant mechanisms and by a lack of high-fidelity numerical models. These is-sues are addressed in the ongoing PROBAND FP6 project. In FP7, FLOCON moves beyond the scope of PROBAND to the development of specific concepts for reducing noise in aero-engine fan stages. A wide range of concepts will be considered and brought up to Technology Readiness Level 4 (laboratory scale validation): Rotor trailing edge blowing Rotor tip vortex suction Rotor overtip treatments Rotor and Stator leading and trailing edge treatments Partly lined stator vanes Experiments will be performed on two rotating rigs, supported where possible by more detailed measurements on a single airfoil and a cascade. Numerical methods will be used to optimize the concepts for experimental validation and to extrapolate the results from labora-tory scale to real engine application. The potential benefit of each concept will be assessed, including any associated penalties (weight, complexity, aerodynamic performance). Recommendations will be given as to which concepts could be integrated into new engine designs and which will require further valida-tion at industrial rig or full engine-scale. Required developments in enabling technologies will also be identified.


Grant
Agency: Cordis | Branch: FP7 | Program: CP | Phase: SEC-2010.2.3-3 | Award Amount: 2.99M | Year: 2011

Civil installations such as power plants are often located in wide and remote areas. In the coming years, the number of small distributed facilities will increase as a direct result of new European environmental policies aimed at increasing societies resilience to local manifestations of climate change. Yet the protection of fragmented assets will be difficult to achieve and will require portable security systems that are affordable to those in charge of their management. The BASYLIS project aims to address these issues by developing a low-cost smart sensing platform that can automatically and effectively detect a range of security threats in complex environments. The principal obstacles to early threat detection in wide areas are of two types: functional (e.g. false-alarm rate) and ethical (e.g. privacy). Both problems are amplified when installations are dynamic or located in changing environments. Potential solutions are unaffordable to most of the potential users. The BASYLIS system will consist of a transportable security platform capable of detecting a wide range of pre-determined security threats. The prototype design will include four highly sensitive sensors exploiting different parts of the spectrum: radio, magnetic, seismic, acoustic and optical waves, as well as images via intelligent video. The information gathered by these sensors is then brought together into an information layer composed of three levels: multi-sensor integration (MSI), image processing and risk assessment. The BASYLIS system will be characterized by high performance and high usability index. The engagement of end users in the specification and validation of the design has been considered from the start of the project, ensuring that the design of the final system meets the needs of the users. BASYLIS consortium has decided to focus on refugees-camps a hot-spot environment where European and UN aids are injured, killed or kidnapped every year.

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