ZUECO, J. and BEG, O. (2011). Network numerical simulation of hydromagnetic marangoni mixed convection boundary layer. Chemical Engineering Communications, 198 (4), 552-571.Full text not available from this repository.
The study of a steady coupled dissipative layer, known as the Mangaroni mixed convection boundary layer, in the presence of a magnetic field is presented. The mixed convection boundary layer is generated when in addition to Marangoni (thermocapillary) effects there are also buoyancy effects due to gravity and external pressure gradient effects. In the model considered the Marangoni coupling condition has been included in the boundary conditions at the interface. Similarity transformations are utilized to transform the governing partial differential conservation equations into nondimensional ordinary differential equations in a single independent space variable (η) and solved using the network simulation method (NSM) using an electronic circuit simulator, Pspice. NSM is founded on the classical thermoelectric analogy between thermal and electrical variables. A set of finite-differential equations, one for each control volume, was obtained by spatial discretization of the transformed equations. The solutions obtained are compared with earlier computations using other numerical techniques, showing excellent agreement. The influence of the Marangoni mixed parameter and Hartmann number on the velocity and temperature functions are studied in detail. The effectiveness of utilizing magnetic fields to control heat transfer in Marangoni convection boundary layers is identified. An increase in Hartmann hydromagnetic number (M) is found to strongly decelerate the flow but increase temperatures. An increase in Marangoni mixed convection parameter (k) for the scenario opposing Marangoni flow (Γ>0) considerably accelerates the flow but decreases temperatures in the boundary layer. Conversely, an increase in Marangoni mixed convection parameter (λ) for the case favorable to the Marangoni flow (Γ<0) decelerates the flow but enhances temperatures in the boundary layer. Applications of the model include semiconductor crystal hydromagnetic heat transfer control. © Taylor & Francis Group, LLC.
|Research Institute, Centre or Group:||Materials and Engineering Research Institute > Polymers Nanocomposites and Modelling Research Centre > Materials and Fluid Flow Modelling Group|
|Depositing User:||Ann Betterton|
|Date Deposited:||22 Dec 2010 11:53|
|Last Modified:||22 Dec 2010 11:53|
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