Analysis of eddy viscosity models in predicting flow field of high-speed water jet

Q1 Agricultural and Biological Sciences 农业机械学报 Pub Date : 2014-01-01 DOI:10.6041/J.ISSN.1000-1298.2014.07.047
M. Yang, J. Lu, Yuli Wang, C. Gong, L. Yan
{"title":"Analysis of eddy viscosity models in predicting flow field of high-speed water jet","authors":"M. Yang, J. Lu, Yuli Wang, C. Gong, L. Yan","doi":"10.6041/J.ISSN.1000-1298.2014.07.047","DOIUrl":null,"url":null,"abstract":"Three commonly used two-equation turbulence models were adopted. The computed velocity field was compared with the data from corresponding laser Doppler anemometer measurement to analyze the accuracy of these models. By adjusting the model parameters, the simulation data can fit into the experimental result. The optimal viscosity coefficients Cμ in these used eddy viscosity models were presented. It is shown that the RNG k-e model is more sensitive to Cμ, while the results from Standard k-e model vary almost linearly with the change of the Cμ value. Study on the simulated flow field gives that if the peak of turbulence kinetic energy appears within the radial span, it will affect the velocity distribution along the jet axis; otherwise, it will modify the velocity magnitude. The proposed numerical scheme reduces the physical complexities involved in ultra-high pressure injection process so that it can be applied to archive fast production from relevant CAE workflow.","PeriodicalId":35080,"journal":{"name":"农业机械学报","volume":"67 1","pages":"306-312"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"农业机械学报","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.6041/J.ISSN.1000-1298.2014.07.047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

Three commonly used two-equation turbulence models were adopted. The computed velocity field was compared with the data from corresponding laser Doppler anemometer measurement to analyze the accuracy of these models. By adjusting the model parameters, the simulation data can fit into the experimental result. The optimal viscosity coefficients Cμ in these used eddy viscosity models were presented. It is shown that the RNG k-e model is more sensitive to Cμ, while the results from Standard k-e model vary almost linearly with the change of the Cμ value. Study on the simulated flow field gives that if the peak of turbulence kinetic energy appears within the radial span, it will affect the velocity distribution along the jet axis; otherwise, it will modify the velocity magnitude. The proposed numerical scheme reduces the physical complexities involved in ultra-high pressure injection process so that it can be applied to archive fast production from relevant CAE workflow.
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
涡流黏度模型在高速水射流流场预测中的应用分析
采用了三种常用的双方程湍流模型。将计算得到的速度场与相应的激光多普勒风速仪测量数据进行了比较,分析了模型的精度。通过调整模型参数,使仿真数据与实验结果拟合较好。给出了这些涡动黏度模型的最佳黏度系数Cμ。结果表明,RNG k-e模型对Cμ更敏感,而标准k-e模型的计算结果几乎随Cμ值的变化呈线性变化。对模拟流场的研究表明,如果湍流动能峰值出现在径向跨度内,将影响沿射流轴向的速度分布;否则,它会改变速度大小。所提出的数值格式降低了超高压注射过程的物理复杂性,可以应用于相关CAE工作流程的归档快速生产。
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
农业机械学报
农业机械学报 Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
4.80
自引率
0.00%
发文量
15162
期刊介绍:
期刊最新文献
Recognition of Aggressive Behaviour in Group-housed Pigs Based on ALR-GMM 大型拖拉机驾驶室PM 10 和PM 2.5 净化效果仿真分析 Performance Comparison between Single and Double Pump Controlled Asymmetric Cylinder under Four-quadrant Operation Scale Model Experiment on Lateral Stability of Tractor Affected by Multi-factors Design and Experiment on Hydraulic Brake System of Intelligent Automobile Parallel Electric Control
×
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