Numerical prediction of turbulent thermocapillary convection in superposed fluid layers with a free interface

Balabel, Ashraf

doi:10.1016/j.ijheatfluidflow.2011.07.005

Cited by 2 publications

(1 citation statement)

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“…Higher harmonics can also be seen in the velocity and pressure profiles revealing the well prediction of flow-acoustics interaction. In our previous work [25] and [26], the validation of our developed numerical scheme has been carried out by performing a number of two-dimensional validation test cases concerning laminar and turbulent two-phase flow with different interfacial stresses. In such context, the accuracy of the presented developed algorithms has been estimated and proved.…”

Section: Validationmentioning

confidence: 99%

Numerical simulation of droplet coalescence in turbulent stream using level set method

Balabel¹

2013

IJEM

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In the present paper a novel numerical method for solving the problem of two-phase flow with moving interfaces in both laminar and turbulent flow regimes is developed. The developed numerical method is based on the solution of the Reynolds-Averaged Navier Stokes equations in both phases separately with appropriate boundary conditions located at the interface separating the two fluids. The solution algorithm is performed on a regular and structured two-dimensional computational grid using the control volume approach. The complex shapes as well as the geometrical quantities of the interface are determined via the level set method. The numerical method is firstly validated against the prediction of the well known flow dynamics over a circular cylinder. Further, the numerical simulation of two colliding droplets in gas flow is numerically predicted showing the important dynamics associated with the different flow regimes considered. The remarkable capability of the developed numerical method in predicting turbulent two-phase flow dynamics enables us to predict further a wide range of two-phase flow industrial and engineering applications.

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Section: Validationmentioning

confidence: 99%