Coupled effect of multislips and activation energy in a micropolar nanoliquid on a convectively heated elongated surface

Abstract

This research communication explores the impact of wall slips along with the suspension of nanomaterials in a chemically reactive micropolar liquid stream on a stretched surface with convective heating. Activation of energy is analyzed through the modified Arrhenius function. Radiative heat flux with nonlinearity and temperature‐dependent thermal source (sink) are considered in the heat transmission process. The Cattaneo–Christov approach featuring the time of thermal relaxation is employed. Successive application of scaling analysis followed by the Runge–Kutta–Fehlberg numerical approach delivered computational solutions for the partial differential equations delineating the problem under study. The response of flow variables for different values of various emerged physical variables is elaborated in detail via graphical and numerical presentations. Comparison of the outcome of the current analysis for certain cases is in accordance with the outcomes available in the literature. The findings reveal that pairs of velocity, microrotation, temperature, and species concentration oppositely reacted to both parameters of slip. The temperature of the nanofluid is improved by 18.5%, for specified values of radiation and temperature ratio parameters over that of the pure base liquid. Activation energy augments concentration. The drag coefficient declines with growing thermal and solutal Grashof numbers. Sherwood number is enhanced for higher values of the temperature difference and chemical reaction parameters.

Thermophoretic particle deposition and heat generation analysis of Newtonian nanofluid flow through magnetized Riga plate

“…The RKF-45 order algorithm is given as follows: 42,43 Runge-Kutta technique 4th order and six steps' sizes as follows: The initial value problem ( 16)-( 19) are solved by guessing the missing value by applying shooting technique through appropriate values of various parameters λ = 0.1, Q β = 0.5, = 0.5, Sc τ S δ = 0.8, = 0.5, = 0.5, = 0.5 and taking 0.1 as step size with tolerance error of about 10 −8 . The algorithm of the numerical procedure is displayed in Figure 2.…”