Objective
The classical numerical approach used for Natural Laminar Flow (NLF) design relies on the experience of the engineers in finding pressure distributions that would improve the extent of laminar flow and could reasonably be approximated in an inverse design phase. Recent initiatives improve this approach, eliminating the “man in the loop”, by including a measure of the laminar flow in the shape optimization problem itself. The numerical solution of such problems with many parameters and constraints is challenging. Our method of optimization for NLF design is an implementation of a gradient-based approach enabling us to efficiently solve problems with many design parameters. The use of CFD, followed by boundary-layer stability analysis, enables to directly find geometries that damp growth of disturbances (which cause transition) in order to delay the laminar-turbulent transition. Moreover, the computation of the gradients is efficiently performed thanks to the work carried out in last years at FOI and KTH on adjoints of the flow and stability equations, making the cost for computing gradients independent of the number of optimization parameters. Our method has been successfully tested for optimization of airfoils and has already come in use in several projects with industrial applications. In the scope of the present project the NLF-optimization toolkit (developed by FOI & KTH) will be extended to three-dimensional geometries. Another important improvement is to include the sensitivities with respect to flow separation because the extension of the laminar boundary layer at cruise can severely penalize the performance of the NLF wing at high angles of attack if laminar separation occurs too early. An attempt will be made to include the Reynolds Averaged Navier-Stokes (RANS) equations as a replacement for the Euler equation in our optimization loop, which involves the use of the adjoint RANS solver already developed by FOI in Edge.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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.
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
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
SP1-JTI-CS-2009-01
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Funding Scheme
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.
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
164 90 Stockholm
Sweden
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.