NACA653218翼型气动性能

Eslam E. AbdelGhany, O. Abdellatif, G. Elhariry, E. Khalil
{"title":"NACA653218翼型气动性能","authors":"Eslam E. AbdelGhany, O. Abdellatif, G. Elhariry, E. Khalil","doi":"10.4172/2168-9792.1000168","DOIUrl":null,"url":null,"abstract":"In this research we have obtained the drag and lift coefficients, velocity, pressure and path lines contours using CFD which can also be determined by using wind tunnel experimental test. This process is relatively difficult and surely price more than CFD technique cost for the same problem solution. Thus we have gone through analytical method then it can be validated by experimental testing. A CFD procedure is described for determination aerodynamic characteristics of subsonic NACA653218 airfoil. Firstly, the airfoil model shape, boundary conditions and meshes were all formed in GAMBIT® 2.3.16 as a pre-processor. The second step in a CFD model should be to examine the effect of the mesh size on the solution results. In order to save time take case for a grid with around 100000 cells. The third step is validation of the CFD NACA653218 airfoil shape model by different turbulence models with available experimental data for the same model and operation conditions. The temperature of free stream is 288.2 K, which is the same as the environmental temperature. At the given temperature, the density of the air is ρ=1.225kg/m3, the pressure is 101325 Pa and the viscosity is μ=1.7894×10-5 kg/m s. A segregate, implicit solver is utilized (FLUENT® processor) estimate were prepared for angles of attack variety from -5 to 16°. The Spalart-Allmaras turbulence model is more accurate than standard k – e model, RNG k – e model and standard model k–e models. For lift coefficient, it is found maximum error by Spalart-Allmaras model about 12% lower than other turbulence models. For drag coefficient, it is found maximum error by Spalart-Allmaras model about 25% lower than other turbulence models. For pitching moment coefficient, it is found maximum error by Spalart-Allmaras model about 30% lower than other turbulence models.","PeriodicalId":356774,"journal":{"name":"Journal of Aeronautics and Aerospace Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"NACA653218 Airfoil Aerodynamic Properties\",\"authors\":\"Eslam E. AbdelGhany, O. Abdellatif, G. Elhariry, E. Khalil\",\"doi\":\"10.4172/2168-9792.1000168\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this research we have obtained the drag and lift coefficients, velocity, pressure and path lines contours using CFD which can also be determined by using wind tunnel experimental test. This process is relatively difficult and surely price more than CFD technique cost for the same problem solution. Thus we have gone through analytical method then it can be validated by experimental testing. A CFD procedure is described for determination aerodynamic characteristics of subsonic NACA653218 airfoil. Firstly, the airfoil model shape, boundary conditions and meshes were all formed in GAMBIT® 2.3.16 as a pre-processor. The second step in a CFD model should be to examine the effect of the mesh size on the solution results. In order to save time take case for a grid with around 100000 cells. The third step is validation of the CFD NACA653218 airfoil shape model by different turbulence models with available experimental data for the same model and operation conditions. The temperature of free stream is 288.2 K, which is the same as the environmental temperature. At the given temperature, the density of the air is ρ=1.225kg/m3, the pressure is 101325 Pa and the viscosity is μ=1.7894×10-5 kg/m s. A segregate, implicit solver is utilized (FLUENT® processor) estimate were prepared for angles of attack variety from -5 to 16°. The Spalart-Allmaras turbulence model is more accurate than standard k – e model, RNG k – e model and standard model k–e models. For lift coefficient, it is found maximum error by Spalart-Allmaras model about 12% lower than other turbulence models. For drag coefficient, it is found maximum error by Spalart-Allmaras model about 25% lower than other turbulence models. For pitching moment coefficient, it is found maximum error by Spalart-Allmaras model about 30% lower than other turbulence models.\",\"PeriodicalId\":356774,\"journal\":{\"name\":\"Journal of Aeronautics and Aerospace Engineering\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Aeronautics and Aerospace Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4172/2168-9792.1000168\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Aeronautics and Aerospace Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/2168-9792.1000168","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本研究利用CFD计算得到了阻力和升力系数、速度、压力和路径线轮廓,并通过风洞实验测试确定。这一过程相对困难,对于同样的问题解决方案,肯定比CFD技术的成本要高。因此,我们已经通过了分析方法,然后可以通过实验测试来验证。介绍了亚音速NACA653218翼型气动特性的CFD计算方法。首先,在GAMBIT®2.3.16中作为预处理程序形成翼型模型形状、边界条件和网格。CFD模型的第二步应该是检查网格尺寸对求解结果的影响。为了节省时间,以大约100000个单元格的网格为例。第三步,在相同的模型和运行条件下,采用不同的湍流模型对CFD NACA653218翼型模型进行验证。自由流温度为288.2 K,与环境温度相同。在给定温度下,空气的密度为ρ=1.225kg/m3,压力为101325 Pa,粘度为μ=1.7894×10-5 kg/m s。利用FLUENT®处理器对-5 ~ 16°的迎角变化进行了分离、隐式求解。Spalart-Allmaras湍流模型比标准k - e模型、RNG k - e模型和标准模型k - e模型精度更高。对于升力系数,Spalart-Allmaras模型的最大误差比其他湍流模型小12%左右。对于阻力系数,Spalart-Allmaras模型的最大误差比其他湍流模型小25%左右。对于俯仰力矩系数,Spalart-Allmaras模型的最大误差比其他湍流模型小30%左右。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
NACA653218 Airfoil Aerodynamic Properties
In this research we have obtained the drag and lift coefficients, velocity, pressure and path lines contours using CFD which can also be determined by using wind tunnel experimental test. This process is relatively difficult and surely price more than CFD technique cost for the same problem solution. Thus we have gone through analytical method then it can be validated by experimental testing. A CFD procedure is described for determination aerodynamic characteristics of subsonic NACA653218 airfoil. Firstly, the airfoil model shape, boundary conditions and meshes were all formed in GAMBIT® 2.3.16 as a pre-processor. The second step in a CFD model should be to examine the effect of the mesh size on the solution results. In order to save time take case for a grid with around 100000 cells. The third step is validation of the CFD NACA653218 airfoil shape model by different turbulence models with available experimental data for the same model and operation conditions. The temperature of free stream is 288.2 K, which is the same as the environmental temperature. At the given temperature, the density of the air is ρ=1.225kg/m3, the pressure is 101325 Pa and the viscosity is μ=1.7894×10-5 kg/m s. A segregate, implicit solver is utilized (FLUENT® processor) estimate were prepared for angles of attack variety from -5 to 16°. The Spalart-Allmaras turbulence model is more accurate than standard k – e model, RNG k – e model and standard model k–e models. For lift coefficient, it is found maximum error by Spalart-Allmaras model about 12% lower than other turbulence models. For drag coefficient, it is found maximum error by Spalart-Allmaras model about 25% lower than other turbulence models. For pitching moment coefficient, it is found maximum error by Spalart-Allmaras model about 30% lower than other turbulence models.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Mechanical Behavior of a Fuselage Stiffened Carbon-Epoxy Panel under Debonding Load On the Modeling of Light Aircraft Landing Gears Various aspects of situation awareness with respect to human-machine-interaction while using optoavionic cockpit instrumentation in aircraft Autopilot Design of Unmanned Aerial Vehicle A New Methodology for Aerodynamic Design and Analysis of a Small Scale Blended Wing Body
×
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