Entropy minimization of GO–Ag/KO cross-hybrid nanofluid over a convectively heated surface

Author:

Lone Showkat Ahmad1,Al-Essa Laila A.2,Al-Bossly Afrah3,Alduais Fuad S.3,Ali Farhan4,Eldin Sayed M.5,Saeed Anwar6

Affiliation:

1. Department of Basic Sciences, College of Science and Theoretical Studies, Saudi Electronic University, Jeddah-M , Riyadh 11673 , Kingdom of Saudi Arabia

2. Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University , P.O. Box 84428 , Riyadh 11671 , Saudi Arabia

3. Department of Mathematics, College of Science and Humanities in AL-Kharj, Prince Sattam Bin Abdulaziz University , AL-Kharj 11942 , Saudi Arabia

4. Department of Mathematical Sciences, Federal Urdu University of Arts, Sciences & Technology, Gulshan-e-Iqbal , 75300 , Karachi , Pakistan

5. Center of Research , Faculty of Engineering, Future University in Egypt , New Cairo , Egypt

6. Center of Excellence in Theoretical and Computational Science (TaCS-CoE), Science Laboratory Building, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT) , 126 Pracha-Uthit Road, Bang Mod, Thung Khru , Bangkok 10140 , Thailand

Abstract

Abstract The aim of this study is to provide numerical solutions to magnetohydrodynamic (MHD) cross flow with heat and mass transfer over a stretching sheet in a hybrid nanofluid with suction/injection and convective boundary conditions. This will be accomplished by presenting numeric solutions. Nanoparticles of graphene oxide and silver were suspended in kerosene oil as the base fluid taken into consideration is a nanofluid hybrid. After that, the physical flow problem is modeled as a set of partial differential equations, which are then transformed into an equivalent system of nonlinear ordinary differential equations (ODEs) by making use of the relevant similarity transformations. To gain different graphical and numerical results for analyzing the influence of numerous physical restrictions on velocity, heat, and mass profiles, the system of ODEs is solved using the computing power of the Lobatto IIIA technique. The plot of the velocity profile, temperature, concentration, entropy generation and Bejan number with separating magnitude like that power index number ( 0.1 < n < 2.0 0.1\lt n\lt 2.0 ), Weissenberg number ( 0.1 < We < 1.0 0.1\lt {\rm{We}}\lt 1.0 ), Suction/injection ( 0.1 < S < 1.0 0.1\lt S\lt 1.0 ), Magnetic parameter (0.1 < M < 1.0), Biot number ( 0.1 < Bi < 0.3 0.1\lt {\rm{Bi}}\lt 0.3 ), Radiation parameter ( 0.1 < Rd < 2.0 0.1\lt {\rm{Rd}}\lt 2.0 ), Schmidt number ( 1.1 < Sc < 2.0 1.1\lt {\rm{Sc}}\lt 2.0 ), and Chemical reaction parameter ( 1.1 < Sc < 2.0 1.1\lt {\rm{Sc}}\lt 2.0 ). We noted that when the Weissenberg parameter ( We {\rm{We}} ) increases, the flow speed will increase as well. Also, the increasing values of M M slows the flow speed but the opposite effect is observed in the temperature profile. Moreover, the greater values of M M , We, and S reduced in the local skin friction. It is concluded that hybrid nanofluid is better than ordinary nanofluid by percentage values. The results are used in industry and technology in fluid-based systems with shrinkable or flexible materials, MHD flow meters, pumps, and the drawing of plastic strips. Because hybrid nanoparticles speed up the cooling process, they are important in cutting and production.

Publisher

Walter de Gruyter GmbH

Subject

Surfaces, Coatings and Films,Process Chemistry and Technology,Energy Engineering and Power Technology,Biomaterials,Medicine (miscellaneous),Biotechnology

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