Gradient-based multi-disciplinary optimisation with CAD-based parametrisation, application to an aircraft winglet
Lead Research Organisation:
Queen Mary University of London
Department Name: School of Engineering & Materials Scienc
Abstract
Gradient-based methods are essential for high-fidelity shape optimisation, great strides have been made in computing derivatives for CFD using adjoint solvers and are now widely used in aerospace design. Parametrisation of the shape remains a bottleneck, as computation of the shape gradients of CAD geometries is challenging. Winglets are an important part of wing design, the winglet geometry has a strong influence on the aerodynamics of the entire wing, as well as on the structural design of the wing. An optimal winglet design needs a careful trade-off of aerodynamic efficiency vs. structural weight, requiring high-fidelity analysis.
The aim of the project is to explore the capability, efficiency and robustness of the various shape parametrisation approaches developed at QMUL when applied to the multi-disciplinary shape optimisation of the winglet of a wing-fuselage benchmark case. The flow and structure simulations are carried out with Airbus' simulation tools such as high-fidelity CFD flow simulations, as well as simplified structure models developed for this case. QMUL's CAD parametrisation tools will be used to control the geometry.
The aim of the project is to explore the capability, efficiency and robustness of the various shape parametrisation approaches developed at QMUL when applied to the multi-disciplinary shape optimisation of the winglet of a wing-fuselage benchmark case. The flow and structure simulations are carried out with Airbus' simulation tools such as high-fidelity CFD flow simulations, as well as simplified structure models developed for this case. QMUL's CAD parametrisation tools will be used to control the geometry.
People |
ORCID iD |
Jens-Dominik Mueller (Primary Supervisor) | |
Gordon Lindsay (Student) |
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
EP/N50953X/1 | 30/09/2016 | 29/09/2021 | |||
2142122 | Studentship | EP/N50953X/1 | 08/11/2018 | 30/03/2022 | Gordon Lindsay |
EP/R513106/1 | 30/09/2018 | 29/09/2023 | |||
2142122 | Studentship | EP/R513106/1 | 08/11/2018 | 30/03/2022 | Gordon Lindsay |