Naslov
Dynamic Mathematical Model of Deep Bed Filtration Process

Autori
Osmak, Snježana ; Gosak, Darko ; Glasnović, Antun

Izvornik
Computers & Chemical Engineering (0098-1354) 21 (1997), Suppl.; S763-S768

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
deep bed filtration; diluted suspensions; mathematical model; neural network

Sažetak
Deep bed filtration is commonly applied in clarification of dilute suspensions of particles ranging in size from about 0.1 to 50x10-6 m. A suspension carrying solid particles of different sizes is passed through the porpous bed of defined geometrical characteristics. It has been found that sizes of suspended particles and their distribution are very important physical parametars that influence deep bed filter efficiency. Mathematical model has been developed under the assumption that the plug flow model approximates flow of suspension through the bed. The second assumption is that a deposition kinetics is a function of local suspension,s particle distribution and locally deposited particle distribution. Rate distribution paramweters are formally dependent on the parameters that define suspension and deposit distribution. This relation has been established using the general regression neural network (GRNN).Thus defined model enables solving the system with given boundary conditions by approximating distribution function with sums and using othogonal collocation method for transformation of partial differential equations into a system of ordinary differential equations. Devloped method can be applied in process simulation as long as the input concentration and distribution are with the range of experimental values for kinetics determination. The results show that a very complex process, as is deep bed filtration, can be successfully described using neural network.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Kemijsko inženjerstvo

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