Calculation of flow turbulence and analysis on screens setting-up in continuous and transonic wind tunnel

Q3 Engineering 西北工业大学学报 Pub Date : 2023-02-01 DOI:10.1051/jnwpu/20234110216
Haitao Pei, Jiming Chen, Daxiong Liao, B. Zhu, Shenghao Wu
{"title":"Calculation of flow turbulence and analysis on screens setting-up in continuous and transonic wind tunnel","authors":"Haitao Pei, Jiming Chen, Daxiong Liao, B. Zhu, Shenghao Wu","doi":"10.1051/jnwpu/20234110216","DOIUrl":null,"url":null,"abstract":"Turbulence intensity in test section is an important index to evaluate the flow-field performance of wind tunnel, and provide guarantee for model's dynamics and accurate test. The prediction model should be established to evaluate the effect of rectification design to ensure the turbulence-intensity index. Two methods are introduced and used to predict the turbulence-intensity of a continuous and transonic wind tunnel comparing with test results. It was found that the turbulence-intensity variation trend obtained from the two methods is basically same, turbulence-intensity attenuation is mainly concentrated in the first three screens, about 65%, the result calculated by model-one is 21% larger than the measured value and the model-two result is much closer. These two methods can be used to optimize the design of rectifying device effectively although the results obtained by two methods are slightly different form the measured value.","PeriodicalId":39691,"journal":{"name":"西北工业大学学报","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"西北工业大学学报","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1051/jnwpu/20234110216","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

Abstract

Turbulence intensity in test section is an important index to evaluate the flow-field performance of wind tunnel, and provide guarantee for model's dynamics and accurate test. The prediction model should be established to evaluate the effect of rectification design to ensure the turbulence-intensity index. Two methods are introduced and used to predict the turbulence-intensity of a continuous and transonic wind tunnel comparing with test results. It was found that the turbulence-intensity variation trend obtained from the two methods is basically same, turbulence-intensity attenuation is mainly concentrated in the first three screens, about 65%, the result calculated by model-one is 21% larger than the measured value and the model-two result is much closer. These two methods can be used to optimize the design of rectifying device effectively although the results obtained by two methods are slightly different form the measured value.
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
连续跨声速风洞流场湍流计算及屏面设置分析
试验段湍流强度是评价风洞流场性能的重要指标,为模型的动力学和准确试验提供了保证。建立预测模型,评价整流设计效果,保证湍流强度指标。介绍了两种预测连续跨声速风洞湍流强度的方法,并与试验结果进行了比较。结果发现,两种方法得到的湍流强度变化趋势基本一致,湍流强度衰减主要集中在前三层,约为65%,模型一计算结果比实测值大21%,模型二计算结果更接近。这两种方法可以有效地优化整流装置的设计,尽管两种方法得到的结果与实测值略有不同。
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
西北工业大学学报
西北工业大学学报 Engineering-Engineering (all)
CiteScore
1.30
自引率
0.00%
发文量
6201
审稿时长
12 weeks
期刊介绍:
期刊最新文献
Research on the safe separation corridor of the combined aircraft and its generation method Cracking mechanism analysis and experimental verification of encapsulated module under high low temperature cycle considering residual stress AFDX network equipment fault diagnosis technology MUSIC algorithm based on eigenvalue clustering Target recognition algorithm based on HRRP time-spectrogram feature and multi-scale asymmetric convolutional neural network
×
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