화학공학소재연구정보센터
홈 로그인 로그아웃 연락처 사이트맵
Journal of Industrial and Engineering Chemistry, Vol.18, No.6, 2083-2091, November, 2012
DOI10.1016/j.jiec.2012.06.002  Export Citation
Design and optimization of Bi-metallic Ag-ZSM5 catalysts for catalytic oxidation of volatile organic compounds
B. Izadkhah, S.R. Nabavi1, A. Niaei†, D. Salari, T. Mahmuodi Badiki, and N. Caylak2
  • Department of Applied Chemistry and Chemical Engineering, University of Tabriz, Tabriz, Iran
  • 1Department of Applied Chemistry, Faculty of Chemistry, University of Mazandaran, Babolsar, Iran
  • 2Department of Physics, Faculty of Art and Science, University of Sakarya, 54187 Esentepe, Sakarya, Turkey
E-mail:
A neural network model was coupled with genetic algorithm to find an optimal catalyst for elimination of volatile organic compounds (VOCs). The model was based on simultaneous investigation of catalyst formulation, preparation condition, and loaded metal atomic descriptors as representative of each metal, which enables us to evaluate catalyst composition with much fewer experimental data. We have investigated oxides of first transition metal series (V, Cr, Mn, Fe, Co, Ni, Cu and Zn) as a promoter for Ag-ZSM-5 catalyst. Three optimum catalysts, Fe-Ag-ZSM-5, Ni-Ag-ZSM-5, and V-Ag-ZSM-5 were found to have more catalytic activity for VOC (ethyl acetate) oxidation than Ag-ZSM-5.
Keywords:Volatile organic compounds;Ethyl acetate;ZSM-5;Catalyst design;Genetic algorithm;Artificial neural network
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