基于BÉZIER曲线和遗传算法的翼型优化

IF 0.8 Q3 ENGINEERING, AEROSPACE

Aviation Pub Date : 2022-03-25 DOI:10.3846/aviation.2022.16471

Hatice Cansu Ayaz Ümütlü, Z. Kıral

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引用次数: 3

摘要

有不同类型的翼型用于许多应用，如能源生产、航空航天、流体产品的混合。翼型结构的设计优化研究仍在进行中。翼型截面是影响工作质量和效率的最重要因素。本研究的目的是优化翼型，以产生比原始翼型更大的升力。为此，使用Bézier曲线生成翼型极点，使用XFOIL作为流动求解器，使用MATLAB使用遗传算法创建优化代码。结果表明，创建的最佳翼型比原始翼型产生更多的升力。在本研究中，设计优化研究得到了使用ANSYS Fluent进行流量分析的支持。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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AIRFOIL SHAPE OPTIMIZATION USING BÉZIER CURVE AND GENETIC ALGORITHM

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.

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来源期刊

Aviation ENGINEERING, AEROSPACE-

CiteScore

2.40

自引率

10.00%

发文量

审稿时长

15 weeks

期刊介绍： CONCERNING THE FOLLOWING FIELDS OF RESEARCH: ▪ Flight Physics ▪ Air Traffic Management ▪ Aerostructures ▪ Airports ▪ Propulsion ▪ Human Factors ▪ Aircraft Avionics, Systems and Equipment ▪ Air Transport Technologies and Development ▪ Flight Mechanics ▪ History of Aviation ▪ Integrated Design and Validation (method and tools) Besides, it publishes: short reports and notes, reviews, reports about conferences and workshops