Removal of Ni (II) from aqueous solution by an electric arc furnace slag using artificial neural network approach

• Main Authors: Yusuf, Mohammed, Babadei, Farahnaz Eghbali, Balavandy, Sepideh Keshan, Jamnani, Bahador Dastorian, Hosseini, Soraya, Malekbala, Mohamad Rasool, Abdullah, Luqman Chuah
• Format: Article
• Language: English
• Published: American-Eurasian Network for Scientific Information 2013
• Online Access: http://psasir.upm.edu.my/id/eprint/28768/1/Removal%20of%20Ni%20%28II%29%20from%20aqueous%20solution%20by%20an%20electric%20arc%20furnace%20slag%20using%20artificial%20neural%20network%20approach.pdf; http://psasir.upm.edu.my/id/eprint/28768/; http://www.aensiweb.com/old/aeb_September_2013.html

An artificial neural network (ANN) was built to model the adsorption of nickel on electric arc furnace slag (EAFS). The effect of operating parameters such as pH, the initial metal ion concentration, particle size, and adsorbent dosage were investigated to optimize the sorption process. The operatin...