Design of an airfoil morphing leading edge for high-lift applications using a genetic algorithm

Christopher R. Colletti, Phillip J. Ansell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A genetic algorithm was used to design a morphing leading-edge shape on a slotted natural laminar flow airfoil in order to maximize the airfoil while retaining a constant leading-edge arc length. The MSES program suite was used to evaluate a randomized population of airfoils during the design process at freestream conditions of M = 0.225 and Re = 16×106 to match the low-speed, high-lift conditions for a representative single-aisle commercial transport aircraft. By using different definitions of the objective cost function, multiple airfoil designs were found through the genetic algorithm to create a library of possible designs. MSES simulations conducted on the selected airfoil design currently envisaged for the high-lift application were found to have a of 2.56 at an angle of attack of 23.0°. Additional variants of the airfoil were also produced to purposefully alleviate the leading-edge stall tendencies of the baseline airfoil.

Original languageEnglish (US)
Title of host publicationAIAA Scitech 2021 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
Pages1-16
Number of pages16
ISBN (Print)9781624106095
StatePublished - 2021
EventAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021 - Virtual, Online
Duration: Jan 11 2021Jan 15 2021

Publication series

NameAIAA Scitech 2021 Forum

Conference

ConferenceAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021
CityVirtual, Online
Period1/11/211/15/21

ASJC Scopus subject areas

  • Aerospace Engineering

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