Airfoil shape optimization using Bézier curve and genetic algorithm

Autor:	Zeki Kıral, Hatice Cansu Ayaz Ümütlü
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	Bézier curve parametric design genetic algorithm Aerospace Engineering computational fluid dynamics airfoil shape optimization
Zdroj:	Aviation; Vol 26 No 1 (2022); 32–40
ISSN:	1648-7788 1822-4180
Popis:	There are different types of airfoil used in many applications such as energy production, aerospace, mixing of fluid products. Design optimization studies are still being carried out on the airfoil type structures. The airfoil section is the most important factor affecting the quality and efficiency of the performed work. The aim of this study is the optimization of the airfoil shape to generate more lift than the original airfoil shape creates. For this purpose, Bézier curves are used to generate the airfoil polar points, XFOIL is used as a flow solver and MATLAB is used to create optimization codes using the genetic algorithm. The results show that the created optimal airfoil shape produces more lift than the original airfoil shape. In this study, design optimization studies are supported by flow analysis using ANSYS Fluent.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75d54be39e733c498cb8e9f3ed776684 https://journals.vilniustech.lt/index.php/Aviation/article/view/16471 Zobrazit plný text záznamu