Numerical analysis of the shock train evolution in planar nozzles with throat length

IF 1.2 Q3 ENGINEERING, MECHANICAL FME Transactions Pub Date : 2023-01-01 DOI:10.5937/fme2304595t
San Tolentino, Jorge Mírez, Simón Caraballo
{"title":"Numerical analysis of the shock train evolution in planar nozzles with throat length","authors":"San Tolentino, Jorge Mírez, Simón Caraballo","doi":"10.5937/fme2304595t","DOIUrl":null,"url":null,"abstract":"In the present investigation, the behavior of compressible flow in planar nozzles with throat length is analyzed to determine the flow velocity range and pressure fluctuations in the throat section. The flow field was simulated in 2D computational domains with the ANSYS-Fluent R16.2 code. The RANS model was applied for steady-state flow. The governing equations used are the conservation of mass, momentum, energy, and the ideal gas equation of state. The Sutherland equation was used for the viscosity as a function of temperature. The Spalart-Allmaras turbulence model was used to model the flow turbulence, which was validated with experimental pressure data. In the throat section, for the central region of the flow, as the throat length increases, the flow fluctuates and decelerates. Oblique shock waves are produced, and a shock train region is formed. The flow velocity is transonic and is in the Mach number range of 1 to 1.2, and the static pressure is in the range of 0.37 to 0.52. Therefore, as a result of flow fluctuations, throat length has a significant effect on flow development.","PeriodicalId":12218,"journal":{"name":"FME Transactions","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"FME Transactions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5937/fme2304595t","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0

Abstract

In the present investigation, the behavior of compressible flow in planar nozzles with throat length is analyzed to determine the flow velocity range and pressure fluctuations in the throat section. The flow field was simulated in 2D computational domains with the ANSYS-Fluent R16.2 code. The RANS model was applied for steady-state flow. The governing equations used are the conservation of mass, momentum, energy, and the ideal gas equation of state. The Sutherland equation was used for the viscosity as a function of temperature. The Spalart-Allmaras turbulence model was used to model the flow turbulence, which was validated with experimental pressure data. In the throat section, for the central region of the flow, as the throat length increases, the flow fluctuates and decelerates. Oblique shock waves are produced, and a shock train region is formed. The flow velocity is transonic and is in the Mach number range of 1 to 1.2, and the static pressure is in the range of 0.37 to 0.52. Therefore, as a result of flow fluctuations, throat length has a significant effect on flow development.
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
具有喉道长度的平面喷管激波序列演化的数值分析
本文分析了不同喉道长度平面喷嘴的可压缩流动特性,确定了喉道段的流速范围和压力波动。利用ANSYS-Fluent R16.2软件在二维计算域中对流场进行模拟。稳态流采用RANS模型。所使用的控制方程是质量守恒、动量守恒、能量守恒和理想气体状态方程。粘度作为温度的函数使用了Sutherland方程。采用Spalart-Allmaras湍流模型对流动湍流进行了模拟,并用实验压力数据对模型进行了验证。在喉部截面,对于流动的中心区域,随着喉部长度的增加,流动出现波动和减速。产生斜激波,形成激波列区。流动速度为跨音速,马赫数范围为1 ~ 1.2,静压范围为0.37 ~ 0.52。因此,由于流动波动,喉道长度对流动发展有显著影响。
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
FME Transactions
FME Transactions ENGINEERING, MECHANICAL-
CiteScore
3.60
自引率
31.20%
发文量
24
审稿时长
12 weeks
期刊最新文献
Impact shock events in multimodal container transshipment for packaging testing Design a low-cost delta robot arm for pick and place applications based on computer vision Static behaviour of functionally graded rotating cantilever beams using B-spline collocation technique Control of direct current motor by using artificial neural networks in Internal model control scheme Robust algorithm to learn rules for classification: A fault diagnosis case study
×
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