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Chemical Engineering

2015

Adrian Bonilla-Petriciolet

Artificial Neural Networks

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Full-Text Articles in Engineering

Analysis And Modeling Of Multicomponent Sorption Of Heavy Metals On Chicken Feathers Using Taguchi’S Experimental Designs And Artificial Neural Networks, Hilda Elizabeth Reynel-Avila, Adrian Bonilla-Petriciolet, Guadalupe De La Rosa Jan 2015

Analysis And Modeling Of Multicomponent Sorption Of Heavy Metals On Chicken Feathers Using Taguchi’S Experimental Designs And Artificial Neural Networks, Hilda Elizabeth Reynel-Avila, Adrian Bonilla-Petriciolet, Guadalupe De La Rosa

Adrian Bonilla-Petriciolet

In this study, we have used an integrated approach based on Taguchi’s experimental designs and artificial neural networks (ANNs) for the analysis and modeling of the simultaneous removal of cadmium (Cd2+), nickel (Ni2+) and lead (Pb2+) ions from ternary aqueous solutions using chicken feathers. Our results indicated that the multicomponent sorption of these heavy metals on chicken feathers is a complex antagonistic process. Specifically, chicken feathers showed a strong preference for the removal of Pb2+ ions in multicomponent solutions and the presence of these ions affected significantly the multicomponent removal of Cd2+ and Ni2+. This antagonistic sorption effect is more …