Hydrodynamic Characteristics of Textured Microchannel Flow

Author:

Rabiei Nastaran1,Hidrovo Carlos H.1

Affiliation:

1. Department of Mechanical Engineering, Northeastern University , Boston, MA 02115

Abstract

Abstract Microchannel flow is of great interest across many disciplines and applications, from biochemical diagnostics to thermal management systems. Nonetheless, such flow requires large pumping power due to its small cross-sectional length scale. Textured surfaces have shown encouraging results in terms of drag reduction in external flows and at larger scales (turbulent regime). However, there have been some discrepancies in the literature regarding the possibility of drag/friction reduction in microscale internal flows (laminar regime), which is believed to be due to the absence of a proper definition for the reference baseline. The main goal of this paper is to determine whether the (rectangular) textures lead to drag/friction reduction while comparing their results with the correct reference. The rectangular trenches have been introduced on the side walls of the microchannels/microgaps to understand the underlying frictional physics by conducting numerical simulations and experiments. The effect of geometrical parameters of the rectangular trenches as well as the Reynolds number has been investigated on characteristics of the flow. A thorough analysis has been performed using a neural network (NN) to evaluate the potential drag reduction in textured microchannels. The results showed that using the correct reference baseline, no drag reduction was observed in textured microchannels with rectangular trenches. Moreover, the width-to-depth aspect ratio of the trenches and roughness (texture size to mean microchannel dimension) are introduced to be critical parameters in the flow behavior inside textured microchannels.

Funder

National Science Foundation

Publisher

ASME International

Subject

Mechanical Engineering

Cited by 2 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