https://doi.org/10.1140/epjs/s11734-021-00048-6
Regular Article
Numerical simulation for Arrhenius activation energy on the nanofluid dissipative flow by a curved stretching sheet
1
Department of Mathematics, Gokaraju Rangaraju Institute of Engineering and Technology, 500 090, Bachupally, Hyderabad, India
2
Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, 522502, Guntur, Andhra Pradesh, India
3
Department of Mathematics, GITAM School of Science, Bengaluru, Karnataka, India
4
Department of Mathematics, S.V.A. Government College, 517644, Srikalahasti, Andhra Pradesh, India
Received:
1
August
2020
Accepted:
31
January
2021
Published online:
19
April
2021
In this paper, we have analysed a binary chemical nanofluid dissipative flow (in two cases i.e., 50% EG 
50% water/silica and 50% EG 50% water/graphene oxide) due to a curved stretching sheet with activation energy. Appropriate transformations yield the nonlinear ordinary differential system. Shooting procedure (R-K 4th order based) is executed to solve the resultant equations. Graphical illustrations thoroughly demonstrate the features of the involved pertinent parameters. We have deliberated the behaviour of the alike parameters on the rate of transfers (heat and mass) and surface drag force (skin friction coefficient) by means of tables. This investigation reveals that (a) reaction rate parameter and temperature difference parameter are helpful to ameliorate the mass transfer rate (b) concentration enhances for higher estimation of activation energy variable (c) increasing the volume fraction of nanoparticles reflects an escalation in temperature (d) heat transfer rate enhancement is recognized for the influence of heat transfer Biot number. At the end this study, we came to know that the EG-Water Graphene Oxide mixture has more heat transfer rate compared to EG-Water Silica mixture. This outcome helps to conclude that, whenever the more heat transport required in manufacturing and industries, we can take the EG-Water Graphene Oxide mixture.
© The Author(s), under exclusive licence to EDP Sciences, Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2021
