Current density and thermodynamic analysis of energy optimization for double exothermic reaction of magneto-Oldroyd 8-constant material

This study analyses current density and thermodynamics second law of double reaction of a magnetoOldroyd 8-constant liquid in a convective asymmetric cooling medium. The viscoelastic properties of the liquid are prevented from distortion by convective cooling of the flow media device which is taken to satisfy Newton's law of cooling. The flow momentum is motivated by exothermic reaction, chemical kinetics and energized by pressure gradient in the absence of material consumption. The dimensionless leading flow equations are solved using partition weighted residual analytical technique to reveal the parameters sensitivity and impacts on the viscoelastic flow liquid, exothermic combustible heat diffusion, entropy generation and current density. The solution results are presented in tables and graphs for clear understanding of the thermophysical parameters implication on the double reaction fluid considered. As observed, the second step reaction enhances exothermic reaction that in turn support complete combustion process in an engine. An improvement of thermodynamic equilibrium through reducing material terms and Frank-Kamenetskii will minimize the entropy generation and promote thermal engineering machine performance. Current density is augmented by rising second step reaction, electric field loading and activation energy ratio. (c) 2021 The Authors. Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Automated summary

This study analyzes the current density and thermodynamics second law of double reaction of a magnetoOldroyd 8-constant liquid in a convective asymmetric cooling medium. The results show that the second step reaction enhances exothermic reaction, which supports complete combustion process in an engine. Improving thermodynamic equilibrium through reducing material terms and Frank-Kamenetskii can minimize entropy generation and promote thermal engineering machine performance.