On the implicit Large Eddy Simulation of turbomachinery flows using the Flux Reconstruction method

IF 2.5 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Fluids Pub Date : 2024-09-06 DOI:10.1016/j.compfluid.2024.106422
{"title":"On the implicit Large Eddy Simulation of turbomachinery flows using the Flux Reconstruction method","authors":"","doi":"10.1016/j.compfluid.2024.106422","DOIUrl":null,"url":null,"abstract":"<div><p>A high-order flux reconstruction solver has been developed and validated to perform implicit large-eddy simulations of industrially representative turbomachinery flows. The T106c low-pressure turbine and VKI LS89 high-pressure turbine cases are studied. The solver uses the Rusanov Riemann solver to compute the inviscid fluxes on the wall boundaries, and HLLC or Roe to evaluate inviscid fluxes for internal faces. The impact of Riemann solvers is demonstrated in terms of accuracy and non-linear stability for turbomachinery flows. It is found that HLLC is more robust than Roe, but both Riemann solvers produce very similar results if stable solutions can be obtained. For non-linear stabilization, a local modal filter, which combines a smooth indicator and a modal filter, is used to stabilize the solution. This approach requires a tuning parameter for the smoothness criterion. Detailed analysis has been provided to guide the selection of a suitable value for different spatial orders of accuracy. This local modal filter is also compared with the recent positivity-preserving entropy filter in terms of accuracy and stability for the LS89 turbine case. The entropy filter could stabilize the computation but is more dissipative than the local modal filter. Regarding the spanwise spacing of the grid, the case of the LS89 turbine shows that a <span><math><msup><mrow><mi>z</mi></mrow><mrow><mo>+</mo></mrow></msup></math></span> of approximately <span><math><mrow><mn>45</mn><mo>−</mo><mn>60</mn></mrow></math></span> is suitable for obtaining a satisfactory prediction of the heat transfer coefficient of the mean flow. This would allow for a coarse grid spacing in the spanwise direction and a cost-effective ILES aerothermal simulation for turbomachinery flows.</p></div>","PeriodicalId":287,"journal":{"name":"Computers & Fluids","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Fluids","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045793024002536","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

A high-order flux reconstruction solver has been developed and validated to perform implicit large-eddy simulations of industrially representative turbomachinery flows. The T106c low-pressure turbine and VKI LS89 high-pressure turbine cases are studied. The solver uses the Rusanov Riemann solver to compute the inviscid fluxes on the wall boundaries, and HLLC or Roe to evaluate inviscid fluxes for internal faces. The impact of Riemann solvers is demonstrated in terms of accuracy and non-linear stability for turbomachinery flows. It is found that HLLC is more robust than Roe, but both Riemann solvers produce very similar results if stable solutions can be obtained. For non-linear stabilization, a local modal filter, which combines a smooth indicator and a modal filter, is used to stabilize the solution. This approach requires a tuning parameter for the smoothness criterion. Detailed analysis has been provided to guide the selection of a suitable value for different spatial orders of accuracy. This local modal filter is also compared with the recent positivity-preserving entropy filter in terms of accuracy and stability for the LS89 turbine case. The entropy filter could stabilize the computation but is more dissipative than the local modal filter. Regarding the spanwise spacing of the grid, the case of the LS89 turbine shows that a z+ of approximately 4560 is suitable for obtaining a satisfactory prediction of the heat transfer coefficient of the mean flow. This would allow for a coarse grid spacing in the spanwise direction and a cost-effective ILES aerothermal simulation for turbomachinery flows.

Abstract Image

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
使用通量重构法对涡轮机械流进行隐式大涡流模拟
开发并验证了一种高阶通量重构求解器,用于对具有工业代表性的透平机械流动进行隐式大涡流模拟。研究了 T106c 低压涡轮机和 VKI LS89 高压涡轮机案例。该求解器使用 Rusanov 黎曼求解器计算壁面边界的不粘性通量,并使用 HLLC 或 Roe 评估内表面的不粘性通量。从精度和非线性稳定性方面证明了黎曼求解器对涡轮机械流动的影响。结果发现,HLLC 比 Roe 更稳健,但如果能获得稳定解,两种黎曼求解器产生的结果非常相似。在非线性稳定方面,采用了一种结合平滑指标和模态滤波器的局部模态滤波器来稳定解。这种方法需要为平滑度准则设置一个调整参数。该方法提供了详细的分析,以指导为不同精度的空间阶数选择合适的值。在 LS89 水轮机的情况下,还将这种局部模态滤波器与最新的保正熵滤波器在精度和稳定性方面进行了比较。熵滤波器可以稳定计算,但比局部模态滤波器更易耗散。关于网格的跨距,LS89 水轮机的案例表明,z+约为 45-60 适合于获得令人满意的平均流传热系数预测。这样就可以在跨度方向上采用较粗的网格间距,并对涡轮机械流进行经济有效的 ILES 空气热模拟。
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
Computers & Fluids
Computers & Fluids 物理-计算机:跨学科应用
CiteScore
5.30
自引率
7.10%
发文量
242
审稿时长
10.8 months
期刊介绍: Computers & Fluids is multidisciplinary. The term ''fluid'' is interpreted in the broadest sense. Hydro- and aerodynamics, high-speed and physical gas dynamics, turbulence and flow stability, multiphase flow, rheology, tribology and fluid-structure interaction are all of interest, provided that computer technique plays a significant role in the associated studies or design methodology.
期刊最新文献
Reduced data-driven turbulence closure for capturing long-term statistics Editorial Board Modal and nonmodal global instabilities of rotating incompressible axisymmetric boundary layer A high-order local correlation based transition model for transonic airfoil flows On an explicit method for pre-estimate flux for incompressible flow simulation
×
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