Airfoil optimization using Design-by-Morphing
Airfoil optimization using Design-by-Morphing
Design-by-Morphing (DbM) is a novel design methodology that creates a search space for topology optimization. Traditional design techniques often impose geometric constraints and, sometimes, the designer’s biases on the design space, which restricts the novelty of the designs and allows for only small local changes. On the contrary, we show in this paper that DbM does not impose such restrictions on the design space, thus allowing for a radical and expansive search space with only a few design parameters. We compare DbM with other methods in the case of design space generation for 2D airfoils and find that DbM can reconstruct the entire UIUC database with >99.5% accuracy. Furthermore, using a bi-objective genetic algorithm, we optimize the airfoil designs created by DbM to maximize both the lift-over-drag ratio, CLDmax, and stall angle tolerance, ∆α, which results in a Pareto-front of innovative airfoils that exhibit substantial improvements in both objectives.
airfoil, design-by-morphing (DbM), topology optimization
1443-1459
Sheikh, Haris Moazam
631e12be-9394-41fd-8e90-6ab416df0d76
Lee, Sangjoon
54d46b57-5723-4902-ad3c-71ed56faa45e
Wang, Jinge
c4bffdd6-963e-4f2d-80b4-88ad06ff4fd2
Marcus, Philip S.
71925db3-fc73-4df3-93ea-fecc0bd6412b
1 August 2023
Sheikh, Haris Moazam
631e12be-9394-41fd-8e90-6ab416df0d76
Lee, Sangjoon
54d46b57-5723-4902-ad3c-71ed56faa45e
Wang, Jinge
c4bffdd6-963e-4f2d-80b4-88ad06ff4fd2
Marcus, Philip S.
71925db3-fc73-4df3-93ea-fecc0bd6412b
Sheikh, Haris Moazam, Lee, Sangjoon, Wang, Jinge and Marcus, Philip S.
(2023)
Airfoil optimization using Design-by-Morphing.
Journal of Computational Design and Engineering, 10 (4), .
(doi:10.1093/jcde/qwad059).
Abstract
Design-by-Morphing (DbM) is a novel design methodology that creates a search space for topology optimization. Traditional design techniques often impose geometric constraints and, sometimes, the designer’s biases on the design space, which restricts the novelty of the designs and allows for only small local changes. On the contrary, we show in this paper that DbM does not impose such restrictions on the design space, thus allowing for a radical and expansive search space with only a few design parameters. We compare DbM with other methods in the case of design space generation for 2D airfoils and find that DbM can reconstruct the entire UIUC database with >99.5% accuracy. Furthermore, using a bi-objective genetic algorithm, we optimize the airfoil designs created by DbM to maximize both the lift-over-drag ratio, CLDmax, and stall angle tolerance, ∆α, which results in a Pareto-front of innovative airfoils that exhibit substantial improvements in both objectives.
Text
qwad059
- Version of Record
More information
Accepted/In Press date: 18 May 2023
e-pub ahead of print date: 28 June 2023
Published date: 1 August 2023
Keywords:
airfoil, design-by-morphing (DbM), topology optimization
Identifiers
Local EPrints ID: 493435
URI: http://eprints.soton.ac.uk/id/eprint/493435
ISSN: 2288-4300
PURE UUID: 27d50842-f978-4ab3-956d-7c2f38de09da
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Date deposited: 03 Sep 2024 16:33
Last modified: 04 Sep 2024 02:10
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Contributors
Author:
Haris Moazam Sheikh
Author:
Sangjoon Lee
Author:
Jinge Wang
Author:
Philip S. Marcus
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