Turbulent statistics and interface dynamics in a lubricated channel flow at $$Re_{\tau }=100$$

Author:

Alati Alessandro,De Angelis Elisabetta

Abstract

AbstractIn this work we aim to study, through the use of Direct Numerical Simulations (DNS), the turbulent drag reduction (DR) that occurs in a lubricated channel during the transport of a fluid at a low Reynolds number. In this situation, one of the two fluids separates the second from the wall forming a thin layer in contact with it. In our configuration the thin lubricating layer is adjacent to one of the wall, which will be called lubricated side and and we consider the same density $$(\rho _1=\rho _2)$$ ( ρ 1 = ρ 2 ) for the two fluids, while for  the viscosity ratio $$(\lambda = \nu _1/\nu _2)$$ ( λ = ν 1 / ν 2 ) we will consider  two different values: $$\lambda = 1$$ λ = 1 and $$\lambda = 0.5$$ λ = 0.5 . Moreover to assess the role of the surface tension we have duplicated the two simulations at We number of $$We=0.055$$ W e = 0.055 and $$We=0.5$$ W e = 0.5 . As expected the DR mechanism is strongly related to the viscosity ratio, in particular the flow rate increase when decreasing $$\lambda$$ λ due to a relaminarization of the lubricated layer. Moreover, the parametric analysis on the effect of viscosity ratio and surface tension allows us to highlight very interesting modulations of the dynamics of the interface and of the turbulent kinetic budgets. To date, the latest studies in this area have been carried out using the Phase Field Method for the description of the interface. One of the scopes of the present study is to confirm and extend the existing results by exploring the dynamics of the flow with the use of the volume of fluid method.

Funder

Alma Mater Studiorum - Università di Bologna

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3