Numerical Analysis of the Effetcs of Blended Split Winglets on Aerodynamic Performance of Aircraft

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Concurrency and Computation-Practice & Experience Pub Date : 2025-02-10 DOI:10.1002/cpe.8390
Ensar Atasoy, Burhan Çuhadaroğlu
{"title":"Numerical Analysis of the Effetcs of Blended Split Winglets on Aerodynamic Performance of Aircraft","authors":"Ensar Atasoy,&nbsp;Burhan Çuhadaroğlu","doi":"10.1002/cpe.8390","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Air flows with different pressures on the upper and lower surfaces of a wing meet at the wing tip and trailing edge owing to the finite dimensions of the aircraft wings. As a result, wing tip vortices are formed, which increase the induced drag and reduce the aerodynamic performance of the wing. In this study, inspired by bird wings, we aim to design a winglet that reduces wing-tip vortices using a biomimicry method. To verify the numerical method, the ONERA M6 wing, on which experimental and numerical studies were conducted by NASA, is used. The flow around the ONERA M6 wing is modeled using SOLIDWORKS software. The flow region around the wing, whose solid model is created, is divided into finite volumes using the ANSYS Fluent software. To verify the numerical model, a verification analysis is conducted on the pressure coefficient changes using experimental conditions in the literature. After the verification study, computations are performed at various angles of attack for the NACA 4412 winglet profile, which is added to the tip of the ONERA M6 wing at a sweep angle of 60° and different cant angles. The geometric configuration that provides the highest value for the aerodynamic performance parameter known as the lift coefficient to drag coefficient ratio (<i>C</i><sub>L</sub>/<i>C</i><sub>D</sub>) is determined. The results obtained from the study show that the highest <i>C</i><sub>L</sub>/<i>C</i><sub>D</sub> is obtained for the flow at 3.06° angle of attack and 15° cant angle winglet. Moreover, it is also calculated that the blended split winglet design, in which the upper winglet is designed to be longer with a 15° cant angle and the lower winglet to be shorter with a −30° cant angle, provides a 24.6% improvement in the <i>C</i><sub>L</sub>/<i>C</i><sub>D</sub> compared to the base wing.</p>\n </div>","PeriodicalId":55214,"journal":{"name":"Concurrency and Computation-Practice & Experience","volume":"37 4-5","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Concurrency and Computation-Practice & Experience","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpe.8390","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0

Abstract

Air flows with different pressures on the upper and lower surfaces of a wing meet at the wing tip and trailing edge owing to the finite dimensions of the aircraft wings. As a result, wing tip vortices are formed, which increase the induced drag and reduce the aerodynamic performance of the wing. In this study, inspired by bird wings, we aim to design a winglet that reduces wing-tip vortices using a biomimicry method. To verify the numerical method, the ONERA M6 wing, on which experimental and numerical studies were conducted by NASA, is used. The flow around the ONERA M6 wing is modeled using SOLIDWORKS software. The flow region around the wing, whose solid model is created, is divided into finite volumes using the ANSYS Fluent software. To verify the numerical model, a verification analysis is conducted on the pressure coefficient changes using experimental conditions in the literature. After the verification study, computations are performed at various angles of attack for the NACA 4412 winglet profile, which is added to the tip of the ONERA M6 wing at a sweep angle of 60° and different cant angles. The geometric configuration that provides the highest value for the aerodynamic performance parameter known as the lift coefficient to drag coefficient ratio (CL/CD) is determined. The results obtained from the study show that the highest CL/CD is obtained for the flow at 3.06° angle of attack and 15° cant angle winglet. Moreover, it is also calculated that the blended split winglet design, in which the upper winglet is designed to be longer with a 15° cant angle and the lower winglet to be shorter with a −30° cant angle, provides a 24.6% improvement in the CL/CD compared to the base wing.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
混合分裂小翼对飞机气动性能影响的数值分析
由于飞机机翼的尺寸有限,机翼上下表面不同压力的气流在翼尖和后缘处相遇。结果,翼尖涡形成,增加了诱导阻力,降低了机翼的气动性能。在这项研究中,我们的灵感来自鸟类的翅膀,我们的目标是设计一个小翼,以减少翼尖涡流使用仿生学的方法。为了验证数值方法,使用了NASA进行了实验和数值研究的ONERA M6机翼。使用SOLIDWORKS软件对ONERA M6机翼周围的流动进行建模。利用ANSYS Fluent软件将机翼周围的流动区域划分为有限体积,并建立其实体模型。为了验证数值模型,利用文献中的实验条件对压力系数变化进行了验证分析。验证研究结束后,对NACA 4412小翼型进行了不同迎角的计算,该小翼型以60°的掠角和不同的斜角添加到ONERA M6机翼的尖端。为气动性能参数提供最高数值的几何构型被称为升力系数与阻力系数比(CL/CD)。研究结果表明,在攻角为3.06°、小波倾角为15°的情况下,小波流动的CL/CD最高。此外,还计算出混合分裂小翼设计,其中上小翼设计更长,倾角为15°,下小翼设计更短,倾角为- 30°,与基翼相比,CL/CD提高了24.6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Concurrency and Computation-Practice & Experience
Concurrency and Computation-Practice & Experience 工程技术-计算机:理论方法
CiteScore
5.00
自引率
10.00%
发文量
664
审稿时长
9.6 months
期刊介绍: Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.
期刊最新文献
Efficient Scheduling Algorithms for Multicore Cyclic Executives With Precedence and Exclusion Relations Multi-Step Temperature Prediction for a TGAL Regenerative Aluminum Smelting Furnace Enhancing Security and Privacy in Delay-Tolerant Networks Through the Use of Blockchain Technology Anomaly Detection in IoT Environments Using Machine Learning: A Bibliometric Review, Challenges, and Future Research Directions An Efficient Feature Selection Based Novel Deep Learning Models for Multi-Modal Sentimental Analysis in Social Media Platform
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1