Research on Drag Reduction by Coating the Inner Wall of Hydraulic Pipeline

Author:

Wang Xue1,Zhou Junjie12,Liao Wenbo1,Yuan Shihua1

Affiliation:

1. School of Mechanics and Vehicles, Beijing Institute of Technology, Beijing 100081, China

2. Institute of Frontier Technology, Beijing Institute of Technology, Beijing 250101, China

Abstract

This study employs computational fluid dynamics (CFD) simulations to investigate the effect of wall roughness on linear loss in circular pipelines. It specifically addresses hemispherical roughness, focusing on how changes in spacing influence linear loss, a critical determinant of fluid motion within pipelines. The simulations further assess the impact of these variables on flow characteristics, laying a theoretical groundwork for drag reduction and pipeline design improvement. Results indicate that increased spacing between roughness elements reduces the differential pressure at both pipeline ends. The dimensionless spacing value of 30 stabilizes this pressure, suggesting a limit to further changes. Additionally, a rise in roughness height at this spacing exacerbates differential pressure, highlighting a proportional relationship between roughness dimensions and linear loss—greater roughness leads to higher linear loss. Applying a nickel-plated coating on the inner wall significantly lowers roughness, thereby reducing linear loss.

Funder

various ministries and departments

Publisher

MDPI AG

Reference29 articles.

1. Influence of the surface roughness on inner–outer interactions in a turbulent Couette–Poiseuille flow;Kim;Phys. Fluids,2021

2. Experimental study on the effect of wall roughness on turbulent drag reduction in a circular pipe;Wang;J. Fluid Mech.,2020

3. Properties of D- and K-type Roughness in Oscillatory Turbulent Boundary;Yu;Environ. Fluid Mech.,2021

4. Experimental analysis of drag reduction performance of different roughness configurations in pipe flows;Xu;Exp. Fluids,2019

5. Effect of cylinder surface roughness to the distance formation of vortex;Heriyani;Sintek J.,2020

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