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SURFACE TREATMENTS FOR NEXT GENERATION QUIET AEROFOILS

Lead Research Organisation: Queen Mary University of London
Department Name: School of Engineering & Materials Scienc

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Publications

10 25 50
 
Description We have developed a new high-fidelity computational model and used it to extract the physical understanding for why the bio-inspired aerofoil surface treatment leads to noise reduction
Exploitation Route Further work will be to extend the bio-inspired aerofoil treatments to aerospace and wind energy applications, for example, to reduce the wind turbine noise
Sectors Aerospace

Defence and Marine

Energy

 
Title GPU-accelerated high-fidelity CFD solver for aeroacoustics modelling 
Description We have provided a fast GPU-accelerated Navier-Stokes solver which is made available for UK researchers. The method is highly efficient for aeroacoustic simulations of problems such as jet and airframe flow and noise modelling. 
Type Of Material Improvements to research infrastructure 
Year Produced 2024 
Provided To Others? Yes  
Impact We have made our research solver available to UK university including the users from the University of Southampton, Brunel University and the University of Manchester 
 
Description Collaboration with University of Trento 
Organisation University of Trento
Country Italy 
Sector Academic/University 
PI Contribution Collaboration with University of Trento has started one bio-inspired aerofoil structures following the completion of the EPSRC project
Collaborator Contribution The University of Trento first invited me for a seminar presentation and then seconded a PhD student to work in my group in London for 3 months.
Impact Joint AIAA conference paper to be reported in Summer 2025
Start Year 2025