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Investigations on the potentials of novel technologies for aircraft fuel burn reduction through aerostructural optimisation

Investigations on the potentials of novel technologies for aircraft fuel burn reduction through aerostructural optimisation
Investigations on the potentials of novel technologies for aircraft fuel burn reduction through aerostructural optimisation
A physics-based optimisation framework is developed to investigate the potential advantages of novel technologies on the energy efficiency of a midrange passenger aircraft. In particular, the coupled-adjoint aerostructural analysis and optimisation tool FEMWET is modified to study the effects of active flow control at different load cases for conventional and unconventional wing configurations. This multidisciplinary design optimisation (MDO) framework presents the opportunity to optimise the wing considering static aeroelastic effect and, by its gradient-based method, save substantial computational time compared to high-fidelity tools, keeping a satisfying level of accuracy. Two different configurations are analysed: a forward- and backward-swept wing aircraft, developed inside the Cluster of Excellence SE2A (Sustainable and Energy-Efficient Aviation). The forward-swept configuration is sensitive to the aeroelastic stability effect, and the backward configuration is influenced by the aileron constraint. They may lead to a weight increment. Sensitivity studies show the possible role of key parameters on the optimisation results. The highest fuel weight reduction achievable for the two configurations is 5.6% for the forward-swept wing and 9.8% for the backward configuration. Finally, both optimised wings show higher flexibility.
active flow control, aeroelasticity, aircraft design, load alleviation, multidisciplinary design optimisation, sustainable aviation
2226-4310
Mosca, Valerio
957618e6-3426-4006-be8a-38c1fe54446c
Elham, Ali
676043c6-547a-4081-8521-1567885ad41a
Mosca, Valerio
957618e6-3426-4006-be8a-38c1fe54446c
Elham, Ali
676043c6-547a-4081-8521-1567885ad41a

Mosca, Valerio and Elham, Ali (2022) Investigations on the potentials of novel technologies for aircraft fuel burn reduction through aerostructural optimisation. Aerospace, 9 (12), [744]. (doi:10.3390/aerospace9120744).

Record type: Article

Abstract

A physics-based optimisation framework is developed to investigate the potential advantages of novel technologies on the energy efficiency of a midrange passenger aircraft. In particular, the coupled-adjoint aerostructural analysis and optimisation tool FEMWET is modified to study the effects of active flow control at different load cases for conventional and unconventional wing configurations. This multidisciplinary design optimisation (MDO) framework presents the opportunity to optimise the wing considering static aeroelastic effect and, by its gradient-based method, save substantial computational time compared to high-fidelity tools, keeping a satisfying level of accuracy. Two different configurations are analysed: a forward- and backward-swept wing aircraft, developed inside the Cluster of Excellence SE2A (Sustainable and Energy-Efficient Aviation). The forward-swept configuration is sensitive to the aeroelastic stability effect, and the backward configuration is influenced by the aileron constraint. They may lead to a weight increment. Sensitivity studies show the possible role of key parameters on the optimisation results. The highest fuel weight reduction achievable for the two configurations is 5.6% for the forward-swept wing and 9.8% for the backward configuration. Finally, both optimised wings show higher flexibility.

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More information

Accepted/In Press date: 21 November 2022
e-pub ahead of print date: 23 November 2022
Keywords: active flow control, aeroelasticity, aircraft design, load alleviation, multidisciplinary design optimisation, sustainable aviation

Identifiers

Local EPrints ID: 483236
URI: http://eprints.soton.ac.uk/id/eprint/483236
ISSN: 2226-4310
PURE UUID: 9010f5e3-3833-4ab6-b515-ec4a7bc1acdc

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Date deposited: 26 Oct 2023 16:51
Last modified: 17 Mar 2024 05:10

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Contributors

Author: Valerio Mosca
Author: Ali Elham

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