Modeling Of Adsorption Process In Wastewater Treatment Using Artificial Neural Network

Activated carbon is a common and popular adsorbent that has been extensively used in separation and purification processes due to its high adsorption capacity and high surface area. The adsorption of organic components on a commercial activated carbon sample has been investigated experimentally in order to get more information about the application of activated carbons for treatment of organics wastewater. The effect of adsorption time initial concentration of pollutant and weight of adsorbent on organic solvent adsorption in wastewater is investigated. The results of tests showed that the activated carbon was very effective in removing organic solvent from organic solution. In addition experimental results were analyzed using Artificial Neural Network modeling.