Magnetized Casson hybrid nanofluid flow under the influence of surface-catalyzed reactions over a porous moving wedge

Author:

Shanmugapriya M.1ORCID,Sundareswaran R.1ORCID,Gopi Krishna S.2,Fernandez-Gamiz U.3ORCID,Narasimman S.1

Affiliation:

1. Department of Mathematics, Sri Sivasubramaniya Nadar College of Engineering 1 , Chennai 603110, India

2. Department of Mathematics, St. Joseph’s College of Engineering 2 , OMR, Chennai 600119, India

3. Nuclear Engineering and Fluid Mechanics Department, University of the Basque Country UPV/EHU 3 , Nieves Cano 12, 01006 Vitoria-Gasteiz, Spain

Abstract

The main finding of this work focuses on the numerical analysis of magnetized Casson hybrid nanofluid flow via porous moving wedge with surface-catalyzed reactions. Thermal radiation and chemical reactions are also investigated as heat and mass transport mechanisms. Feature of hybrid nanofluid, which contains nanoparticles, such as nickel zinc ferrite (NiZnFe2O4) and manganese zinc ferrite (MnZnFe2O4) nanoparticles with engine oil as a working fluid, is discussed. These hybrid nanofluids (NiZnFe2O4 + MnZnFe2O4/C2H18) offer significant improvements in thermal conductivity, heat transfer efficiency, and magnetic control, making them ideal for automotive, industrial, and magnetic fluid applications. The flow dynamics of the system have been modeled using a system of non-linear PDEs, which are transformed into dimensionless ODEs using appropriate similarity conversions. The transformed ODEs are solved using the fourth- and fifth-order Runge–Kutta–Fehlberg method along with the shooting technique. Results indicate that increased surface-catalyzed parameters in porous media accelerate heterogeneous catalysis, leading to more vigorous reactions and shorter reaction times. Furthermore, the incorporation of NiZnFe2O4 and MnZnFe2O4 nps in the base fluid substantially improves both the velocity and energy transmission rate. Engine oil containing ferrite nanoparticles on porous moving wedge could improve engine performance and efficiency in automotive cooling systems and lubrication effectiveness.

Funder

Elkartek CICe2022

Publisher

AIP Publishing

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