Title of article :
OPTIMIZATION OF ARSENITE ADSORPTION ON HYDROXY APATITE BASED ADSORBENT USING THE ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM
Author/Authors :
Bajić ، Zoran J. Department for Military Chemical Engineering - Military Academy - University of Defense in Belgrade , Pamučar ، Dragan S. Department for Logistics - Military Academy - University of Defense in Belgrade , Bogdanov ، Jovica Đ. Department for Military Chemical Engineering - Military Academy - University of Defense in Belgrade , Bučko ، Mihael M. Department for Military Chemical Engineering - Military Academy - University of Defense in Belgrade , Veličković ، Zlate S. Department for Military Chemical Engineering - Military Academy - University of Defense in Belgrade
Abstract :
This paper describes an optimization procedure for the adsorption of arsenite ions from wastewater using the Adaptive Neuro-Fuzzy Inference System (ANFIS). The adsorbent is based on hydroxy apatite, a natural material obtained from carp (Cyprinus carpio) scales. The input parameters were the influence of pH, the temperature, the initial concentration and reaction time of arsenite adsorption while the adsorption capacity and the arsenite removal percentage were studied as the output parameters.
Keywords :
arsenite , adsorption , carp scales , hydroxy apatite , adsorbent , ANFIS
Journal title :
Military Technical Courier
Journal title :
Military Technical Courier
