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Theoretical analysis of Arrhenius activation energy on 3D MHD nanofluid flow with convective boundary condition

Nainaru TarakaramuNarsu SivakumarDepartment of Mathematics, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankuluthur 603203, TN, IndiaNissren TamamDepartment of Physics, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi ArabiaP. V. Satya NarayanaDepartment of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore 632014, IndiaSivajothi RamalingamDepartment of Management, R L Institute of Management Studies (A Unit of Subbalakshmi Lakshmipathy College of Science), Madurai 625022, Tamil Nadu, India
2023en
ABI

Аннотация

Industry and space technology have significant issues managing heat energy and controlling mass dispersion. The purpose of this study is to develop motion caused by boundary layer thickness sheets that are increasingly being used in various engineering fields (civil engineering, mechanical, aeronautical, maritime processes and constructions). The activation energy is a critical factor in chemical reactions due to the existence of many applications in gas-cooled reactors, nuclear thermal rockets and liquid-fluoride reactors. This study presents the numerical analysis of activation energy on three dimensional (3D) nanofluid (NFs) motion via Stretching Surface (SS) with nonlinear thermal radiation effect. This is in contrast to the conventional slip condition, convective condition applied at surface. The governing basic equations are translated into nonlinear ODEs by suitable similarity transformations. The relevant boundary value problem was explored for a numerical solution for applying the MATLAB based on Runge–Kutta–Fehlberg (RKF) scheme via shooting technique. The major outcomes of current work have more concentration ([Formula: see text]) and Mass Transfer Rate ([Formula: see text]) for various numerical values of Activation Energy ([Formula: see text]). The present solutions determine very good correlation with the previously studied ones in a special case as predicted in the tables.

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