“…Most of the existing models have been developed for micro-pumps [27] and can be easily adapted to describe the operation of a microgenerator. The literature reports analytical models for one- and two-dimensional (2D) problems [28] , [29] , while three-dimensional numerical solutions are reported based on Finite Difference Methods (FDM) [30] , [31] , Finite Element Methods (FEM) [32] , and Finite Volume Methods (FVM) [33] , [34] , [35] . We chose the FVM as it is the most common approach to dealing with fluids in motion.…”
“…Most of the existing models have been developed for micro-pumps [27] and can be easily adapted to describe the operation of a microgenerator. The literature reports analytical models for one- and two-dimensional (2D) problems [28] , [29] , while three-dimensional numerical solutions are reported based on Finite Difference Methods (FDM) [30] , [31] , Finite Element Methods (FEM) [32] , and Finite Volume Methods (FVM) [33] , [34] , [35] . We chose the FVM as it is the most common approach to dealing with fluids in motion.…”
In the present study, the effects of applying magnetic field on heat transfer and entropy generation of a nanofluid through microchannel with a triangular corrugated wall were examined. Considering the slip velocity, the effects of Reynolds and Hartmann numbers on the Nusselt and Bejan numbers have been studied. The positive effect of installing triangular ribs is increase in the heat transfer area, but the negative effect corresponds to vortex formation at high Reynolds. Applying magnetic field diminished the vortex intensity which in turn improved the heat transfer by 25%, and the simultaneously intensified the entropy generation by 328%. The results affirmed that slip coefficient growth from 0 to 0.1 could simultaneously improve the heat transfer and reduce the entropy generation by 13%.
Numerous industries deal with heat transfer looking for a new technique to boost efficiency. Using nonuniform condition and making a wavy wall and microchannel are the conventional techniques to increase heat transfer which consequently lead to intensification in energy storage potential. In the present study, forced convection heat transfer of nanofluid through the slippage microchannel is investigated by utilizing numerical methods. Moreover, the results of the artificial neural network in determining the parameters involved in the first and second laws of thermodynamics are discussed; so it is necessary to determine the optimal number of neurons in the middle layer. In addition, the current study aims to examine the effects of Reynolds number, slip wall, and locations of thermal boundary condition on heat transfer and irreversibility. However, thermal entropy generation becomes 1.52 times worse. It is also revealed that the slippage wall can enhance the heat transfer up to 15.6%. The best thing about slippage microchannel is creating slip wall raises the thermal entropy generation and declines the viscous entropy generation.
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