Abstract
A computational model to simulate ventilation of a dead-end mine working with line brattice has been developed. To solve fluid dynamics problem, i.e. to compute flow pattern, model of inviscid flow has been used. That allows to compute quickly air flow pattern. To simulate dust dispersion in the dead-end mine working with brattice twodimensional equation of mass transfer has been used. Numerical integration of Laplas equation for the velocity potential has been carried out using Samarski two steps difference scheme of splitting. Proposed CFD model allows quick computing of dust dispersion in the dead-end mine working with brattice. Markers (porosity technique) have been used to create the complex geometrical form of computational domain. Results of numerical experiments which had been performed on the basis of the developed CFD model have been presented.
Highlights
Mining industry is an important branch in Ukraine
A CFD model which has been developed to compute dust dispersion in dead-end mine working with brattice is based on two governing equations: equation of potential flow and equation of pollutant dispersion
Direction of air flow is shown with arrows
Summary
Mining industry is an important branch in Ukraine. Among different scientific problems which are appeared in this branch, ventilation of dead-end mine working is among the most important [1,2,3,4,5,6]. Ventilation becomes the most important process of dust and others pollutant removal from dead-end mine workings. That it is very important to compute correctly velocity flow in the dead-end mine working. It means that when we use numerical methods to solve fluid dynamic problem, we must compute velocity in each computational cell so that in each computational cell predicted components of air velocity satisfy equation of continuity. We can obtain the computational cell with "fictitious source" or "fictitious drain" If such "fictitious sources" appear in the computational region they break all the process of numerical simulation and it is impossible to simulate pollutant dispersion at the second step of numerical experiment
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