Improving the prediction of turbulent kinetic energy for drag reduction in turbulent viscoelastic pipe flow

Author:

Niazi Mohammad1ORCID,Ashrafizadeh Seyed Nezameddin1ORCID,Hashemabadi Seyed Hassan2

Affiliation:

1. Research Lab for Advanced Separation Processes, Department of Chemical Engineering, Iran University of Science and Technology 1 , Narmak, Tehran 16846-13114, Iran

2. Computational Fluid Dynamics Research Laboratory, Department of Chemical Engineering, Iran University of Science and Technology 2 , Narmak, Tehran 16846-13114, Iran

Abstract

Reducing turbulence in pipe flows using polymer additives is crucial for industrial applications like crude oil, water, and sewage transportation. While previous research has accurately predicted friction factor and velocity profiles, none has fully understood turbulent kinetic energy (TKE) behavior in such fluids. Authors are now focusing on exploring turbulence models to better understand the TKE behavior. In this research, we have introduced a model to improve the behavior of TKE in a modified generalized Newtonian fluid (GNF). The developed model aims to simulate the viscoelastic effects of fluids that result in drag reduction in turbulent pipe flow. The work is noteworthy as it integrates turbulence and viscoelastic components, offering a comprehensive understanding of the phenomenon. By incorporating the rheological properties of viscoelastic fluids and replacing the damping function with a non-Newtonian alternative proposed by Cruz and Pinho, the Launder–Sharma k–ε turbulence model is now suitable for simulating dilute non-Newtonian viscoelastic fluids. The viscoelastic aspect of the model employs the modified GNF model. The developed model has been subjected to simulations using the computational fluid dynamics software. The results obtained for fluid TKE demonstrate a significant improvement in comparison to our previous research and the findings of other researchers. Furthermore, the model's prediction for the Darcy friction factor has been enhanced, resulting in an average error of only 3.71% in this section. It is noteworthy that the model consistently maintains a high level of accuracy in predicting other essential flow parameters such as mean axial velocity and Reynolds stresses. The provided model advances our understanding of viscoelastic fluid behavior in turbulent pipe flow by applying the modified GNF model.

Publisher

AIP Publishing

Reference44 articles.

1. Some observations on the flow of linear polymer solutions through straight tubes at large Reynolds numbers,1949

2. Drag reduction fundamentals;AIChE J.,1975

3. Preparation, stabilization, and characterization of polyisobutylene aqueous suspension;Colloid Polym. Sci.,2020

4. Preparation of a stabilized aqueous polystyrene suspension via phase inversion;RSC Adv.,2021

5. Degradation of drag reducing polymers in aqueous solutions;Korean J. Chem. Eng.,2018

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