Modeling of copper removal from aqueous solutions by using carbon-based adsorbents derived from hazelnut and walnut shells by artificial neural network
Abstract:The aim o f this study is to model the removal of copper from an aqueous solution using Artificial Neural Network ( ANN). Two different carbon-based materials (biochar) obtained by pyrolysis of hazelnut and walnut shells were used as adsorbents in a batch adsorption system. The surface area of biochars with a porous structure obtained from hazelnut and walnut shells were 124.347 m 2 /g and 256.931 m 2 /g, respectively. In adsorption experiments, initial copper concentration, adsorbent amount, temperature, pH, … Show more
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