Airfoil inverse design based on particle swarm optimization algorithm

Qinghe Zhao
{"title":"Airfoil inverse design based on particle swarm optimization algorithm","authors":"Qinghe Zhao","doi":"10.1117/12.2667289","DOIUrl":null,"url":null,"abstract":"Particle swarm optimization algorithm has the characteristics of global optimization. The Euler equation with CST airfoil parameterization is used to ensure the generation of smooth airfoil. The airfoil reverse design optimization system is build based on particle swarm optimization algorithm. The design practice shows that the optimization algorithm developed in this paper can greatly improve the efficiency of optimization design and has good practical value in engineering.","PeriodicalId":345723,"journal":{"name":"Fifth International Conference on Computer Information Science and Artificial Intelligence","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth International Conference on Computer Information Science and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2667289","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Particle swarm optimization algorithm has the characteristics of global optimization. The Euler equation with CST airfoil parameterization is used to ensure the generation of smooth airfoil. The airfoil reverse design optimization system is build based on particle swarm optimization algorithm. The design practice shows that the optimization algorithm developed in this paper can greatly improve the efficiency of optimization design and has good practical value in engineering.
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
基于粒子群优化算法的翼型反设计
粒子群优化算法具有全局寻优的特点。采用带CST翼型参数化的欧拉方程,保证了光滑翼型的生成。建立了基于粒子群优化算法的翼型反设计优化系统。设计实践表明,本文提出的优化算法可以大大提高优化设计的效率,具有良好的工程实用价值。
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
自引率
0.00%
发文量
0
期刊最新文献
Design and application of rhythmic gymnastics auxiliary training system based on Kinect Long-term stock price forecast based on PSO-informer model Research on numerical simulation of deep seabed blowout and oil spill range FL-Lightgbm prediction method of unbalanced small sample anti-breast cancer drugs Learning anisotropy and asymmetry geometric features for medical image segmentation
×
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:481959085
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