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Constrained multi-objective aerofoil design using a multi-level optimisation strategy

Published online by Cambridge University Press:  27 January 2016

L. Cameron ,
J. Early ,
R. McRoberts  and
M. Price
J. Early
Affiliation:
School of Mechanical and Aerospace Engineering, Queen’s University, Belfast, UK
R. McRoberts
Affiliation:
School of Mechanical and Aerospace Engineering, Queen’s University, Belfast, UK
M. Price
Affiliation:
School of Mechanical and Aerospace Engineering, Queen’s University, Belfast, UK
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Abstract

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A novel approach for the multi-objective design optimisation of aerofoil profiles is presented. The proposed method aims to exploit the relative strengths of global and local optimisation algorithms, whilst using surrogate models to limit the number of computationally expensive CFD simulations required. The local search stage utilises a re-parameterisation scheme that increases the flexibility of the geometry description by iteratively increasing the number of design variables, enabling superior designs to be generated with minimal user intervention. Capability of the algorithm is demonstrated via the conceptual design of aerofoil sections for use on a lightweight laminar flow business jet. The design case is formulated to account for take-off performance while reducing sensitivity to leading edge contamination. The algorithm successfully manipulates boundary layer transition location to provide a potential set of aerofoils that represent the trade-offs between drag at cruise and climb conditions in the presence of a challenging constraint set. Variations in the underlying flow physics between Pareto-optimal aerofoils are examined to aid understanding of the mechanisms that drive the trade-offs in objective functions.

Information

Type
Research Article
Information
The Aeronautical Journal , Volume 119 , Issue 1217 , July 2015 , pp. 833 - 854
Copyright
Copyright © Royal Aeronautical Society 2015

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