Objective
Significant components of the interior noise in high speed vehicles are caused by the Turbulent Boundary Layer (TBL) disturbances which are inherently random and broadband. In fact, aircraft cabin noise during cruise is dominated by the TBL noise components. The noise is generated by the airflow over the fuselage surface and transmitted to the vehicle interior especially through vibration and sound radiation of panels of the aircraft fuselage. This problem is traditionally solved passively, by applying sound absorbing materials onto the panels. However, the low-frequency effectiveness of passive treatments is not sufficient. For this reason an interest has grown in using active noise transmission control. It can be implemented through smart panels with embedded sensor-actuator pairs which apply decentralised velocity feedback control. Such control generates active damping and thus significantly decreases the sound transmission at low frequencies, where it is dominated by resonances of fuselage panels. The major challenge in development of smart panels with decentralised velocity feedback control loops is the stability of practical systems, which limits the maximum feedback gain, and thus the maximum performance. Furthermore, due to the cross-talk between the control units, the increase in the number of feedback loops does not necessarily lead to the increase in global performance, as the maximum stable gain tends to decrease. In that case, there is a danger that unnecessary mass is added to the structure. Therefore the three objectives of the project SPRiNT are: to improve on the stability of the feedback loops, to investigate ways to reduce mass added to the structure by the active control system components, and finally, to optimize the number of control units per smart panel area. This will be done theoretically by numerical simulations and experimentally on prototype smart panels.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering control systems
- engineering and technology mechanical engineering vehicle engineering aerospace engineering aircraft
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2010-RG
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Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
21000 Split
Croatia
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.