Journal Facts

Journal
Journal of Environmental Systems
ISSN
0047-2433 (print) 1541-3802 (electronic)
Volume
23
Issue
3
Date
1/1/1994

Article Facts

Title
Designing and Analyzing Fixed-Bed Adsorption Systems with Artificial Neural Networks
DOI
10.2190/6AUV-9EH6-WKY8-G5JE
Authors
  • Imad A. Basheer
  • Yacoub M. Najjar
Pages
291-312
Online Date
05/09/2002

Article Links

Designing and Analyzing Fixed-Bed Adsorption Systems with Artificial Neural Networks

Imad A. Basheer
Yacoub M. Najjar

DOI: 10.2190/6AUV-9EH6-WKY8-G5JE

Abstract

Adsorption in fixed beds is a common unit process in water treatment and in a large number of separation technologies. The dynamics of fixed-bed adsorption are commonly described by mathematical models which require a thorough understanding of the complex phenomena. The mathematical models of adsorption, which are a set of partial differential equations describing mass balances and transfer, usually require numerical solution. This article describes the application of artificial neural networks to the problem of predicting the breakthrough time, a critical parameter in adsorption in fixed beds. The approach employed also can be used to develop more general predictive neural networks that deal with a large number of situations encountered in fixed-bed adsorption. The ability of the developed neural network to predict the breakthrough time is found to be comparable to that for a mathematically-based model. The advantages of the neural networks over the conventional mathematical models as well as their limitations are stated.

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