Surface Roughness in RANS Applied to Aircraft Ice Accretion Simulation: A Review

IF 1.8 Q3 MECHANICS Fluids Pub Date : 2023-10-15 DOI:10.3390/fluids8100278
Kevin Ignatowicz, François Morency, Héloïse Beaugendre
{"title":"Surface Roughness in RANS Applied to Aircraft Ice Accretion Simulation: A Review","authors":"Kevin Ignatowicz, François Morency, Héloïse Beaugendre","doi":"10.3390/fluids8100278","DOIUrl":null,"url":null,"abstract":"Experimental and numerical fluid dynamics studies highlight a change of flow structure in the presence of surface roughness. The changes involve both wall heat transfer and skin friction, and are mainly restricted to the inner region of the boundary layer. Aircraft in-flight icing is a typical application where rough surfaces play an important role in the airflow structure and the subsequent ice growth. The objective of this work is to investigate how surface roughness is tackled in RANS with wall resolved boundary layers for aeronautics applications, with a focus on ice-induced roughness. The literature review shows that semi-empirical correlations were calibrated on experimental data to model flow changes in the presence of roughness. The correlations for RANS do not explicitly resolve the individual roughness. They principally involve turbulence model modifications to account for changes in the velocity and temperature profiles in the near-wall region. The equivalent sand grain roughness (ESGR) approach emerges as a popular metric to characterize roughness and is employed as a length scale for the RANS model. For in-flight icing, correlations were developed, accounting for both surface geometry and atmospheric conditions. Despite these research efforts, uncertainties are present in some specific conditions, where space and time roughness variations make the simulations difficult to calibrate. Research that addresses this gap could help improve ice accretion predictions.","PeriodicalId":12397,"journal":{"name":"Fluids","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fluids","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/fluids8100278","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MECHANICS","Score":null,"Total":0}
引用次数: 0

Abstract

Experimental and numerical fluid dynamics studies highlight a change of flow structure in the presence of surface roughness. The changes involve both wall heat transfer and skin friction, and are mainly restricted to the inner region of the boundary layer. Aircraft in-flight icing is a typical application where rough surfaces play an important role in the airflow structure and the subsequent ice growth. The objective of this work is to investigate how surface roughness is tackled in RANS with wall resolved boundary layers for aeronautics applications, with a focus on ice-induced roughness. The literature review shows that semi-empirical correlations were calibrated on experimental data to model flow changes in the presence of roughness. The correlations for RANS do not explicitly resolve the individual roughness. They principally involve turbulence model modifications to account for changes in the velocity and temperature profiles in the near-wall region. The equivalent sand grain roughness (ESGR) approach emerges as a popular metric to characterize roughness and is employed as a length scale for the RANS model. For in-flight icing, correlations were developed, accounting for both surface geometry and atmospheric conditions. Despite these research efforts, uncertainties are present in some specific conditions, where space and time roughness variations make the simulations difficult to calibrate. Research that addresses this gap could help improve ice accretion predictions.
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
RANS的表面粗糙度在飞机冰积模拟中的应用综述
实验和数值流体动力学研究强调了在表面粗糙度存在下流动结构的变化。这些变化涉及壁面换热和壁面摩擦,但主要局限于边界层内部区域。飞机飞行结冰是一种典型的应用,其中粗糙表面对气流结构和随后的冰生长起着重要作用。这项工作的目的是研究如何在具有壁面分辨边界层的航空应用RANS中处理表面粗糙度,重点是冰引起的粗糙度。文献综述表明,在实验数据上校准了半经验相关性,以模拟存在粗糙度的流动变化。RANS的相关性不能明确地解决单个粗糙度。它们主要涉及湍流模型的修改,以解释近壁区域速度和温度分布的变化。等效砂粒粗糙度(ESGR)方法是一种流行的粗糙度度量,并被用作RANS模型的长度尺度。对于飞行中的结冰,考虑到表面几何形状和大气条件,建立了相关性。尽管有这些研究努力,但在某些特定条件下存在不确定性,其中空间和时间粗糙度的变化使模拟难以校准。解决这一差距的研究可以帮助改善冰的增加预测。
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
Fluids
Fluids Engineering-Mechanical Engineering
CiteScore
3.40
自引率
10.50%
发文量
326
审稿时长
12 weeks
期刊最新文献
Interrupter Technique Revisited: Building an Experimental Mechanical Ventilator to Assess Respiratory Mechanics in Large Animals Three-Dimensional Long-Wave Instability of an Evaporation/Condensation Film Valveless Pumping with an Unsteady Stenosis in an Open Tank Configuration Analytical Solution for Transient Electroosmotic and Pressure-Driven Flows in Microtubes Stochastic Equations of Hydrodynamic Theory of Plasma
×
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