Chemical entropy generation and secondorder slip condition on hydrodynamic Casson nanofluid flow embedded in a porous medium: a fast convergent method | ||||
| Journal of the Egyptian Mathematical Society | ||||
| Article 6, Volume 30, Issue 1, 2022, Page 1-25 PDF (2.33 MB) | ||||
| DOI: 10.1186/s42787-022-00140-3 | ||||
 View on SCiNiTO | ||||
| Abstract | ||||
| The chemical entropy generation analysis is an approach to optimize the performance of different thermal systems by investigating the related irreversibility of the system. The influences of second-order slip with the chemical reaction on the boundary layer flow and heat transfer of a non-Newtonian nanofluid in a non-Darcian porous medium have been investigated numerically. Simultaneous solutions are presented for first and second-order velocity slips. The second-order boundary conditions serve as a closure of a system of the continuity, transport, and energy differential equations. The current work differs from the previous studies in the application of a new second-order slip velocity model. The Casson fluid model is applied to characterize the non-Newtonian fluid behavior. The effect of the second slip parameter on the present physical parameters was discussed through graphs and it was found that this type of slip is a very important one to predict the investigated physical model. The present study provides two fast convergent methods on the semi-infinite interval, namely Chebyshev collocation method and optimal homotopy analysis method are used to analyze the fluid flow, heat, and mass transport. Compared with available analytical and numerical solutions, current methods are effective, quickly converging, and with great accuracy. It was shown that the account for the second-order terms in the boundary conditions noticeably affects the fluid flow characteristics and does not influence on the heat transfer characteristics. | ||||
| Keywords | ||||
| Casson nanofluid; Chemical reaction; Chebyshev collocation method; Optimal homotopy analysis method | ||||
|
Statistics Article View: 22 PDF Download: 23 |
||||
