Optimization of arsenite adsorption on hydroxy apatite based adsorbent using the adaptive neuro-fuzzy inference system

  • Zoran J. Bajić Military Academy, University of defense
  • Dragan S. Pamučar Military Academy, University of defense
  • Jovica Đ. Bogdanov Military Academy, University of defense
  • Mihael M. Bučko Military Academy, University of defense
  • Zlate S. Veličković Military Academy, University of defense
DOI: https://doi.org/10.5937/vojtehg67-21519
Keywords: arsenite, adsorption, carp scales, hydroxy apatite, adsorbent, ANFIS,

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.

Author Biographies

Zoran J. Bajić, Military Academy, University of defense

Department for Military Chemical Engineering

assistant professor

Dragan S. Pamučar, Military Academy, University of defense

Department for logistic

assistant professor

Jovica Đ. Bogdanov, Military Academy, University of defense

Department for Military Chemical Engineering

assistant professor

Mihael M. Bučko, Military Academy, University of defense

Department for Military Chemical Engineering

assistant professor

Zlate S. Veličković, Military Academy, University of defense

Department for Military Chemical Engineering

assistant professor

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Published
2019/10/05
Issue
Vol. 67 No. 4 (2019): October – December
Section
Original Scientific Papers

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