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RISS 인기검색어
- 검색키워드
- 저자 : Reza Katal (검색결과 4 건)
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Reza Katal,Hooman Taher Rahmati,Hossein Esfandian,Mazyar Sharifzadeh Baei 한국공업화학회 2012 Journal of Industrial and Engineering Chemistry Vol.18 No.1
In this article, we prepared anionic sorbent using rice husk (RC). Anionic rice husk (ARC) structural characteristics and adsorption properties for nitrate removal from aqueous solution were investigated. The sorption of NO3by batch method is carried out. The optimum conditions of sorption were found to be: a sorbent dose of 0.4 g in 100 mL of NO3solution, contact time of 90 min, pH = 7. In optimum condition, removal efficiency was 94.3% for the NO3. The nitrate adsorption process was well described by the pseudo-second-order kinetic model, and the experimental isotherm data fitted well with the Langmuir, Freundlich and Dubinin–Radushkevich (D–R) isotherm models. Thermodynamic parameters such as Gibbs free energy change, enthalpy change and entropy change were calculated and the results showed that the adsorption of nitrate on ARC was spontaneous and exothermic in nature. The effect of other anions were also studied and was found that the anions reduced the nitrate adsorption in the order of carbonate > chloride > phosphate > sulphate. ARC was used for the removal of NO3from real wastewater (urban wastewater) that high performance of adsorbent was considerable.
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Study effect of different parameters on the sulphate sorption onto nano alumina
Reza Katal,Mehdi Jafari,Amir Hossein Saeedi Dehaghani,Seyedmehdi Sharifian,Mohammed Ali Ghayyem,Mohsen Vafaie Sefti 한국공업화학회 2012 Journal of Industrial and Engineering Chemistry Vol.18 No.1
The aim of this research work is to investigate sorption characteristic of modified nano alumina (n-Al) for the removal of SO42 from aqueous solutions and wastewater. The sorption of SO42 by batch method is carried out. The optimum conditions of sorption were found to be: a sorbent dose of 0.3 g in 100 ml of SO42, contact time of 35 min, pH = 5. In optimum condition, removal efficiency was 85.6% for the SO42. Three equations, i.e. Morris–Weber, Lagergren and pseudo second order have been tested to track the kinetics of removal process. The Langmuir, Freundlich and D–R are subjected to sorption data to estimate sorption capacity. It can be concluded that n-Al has potential to remove SO42 ions from aqueous solutions at different concentrations. It was found that the temperature has positive effect on the process and negative DG values indicated thermodynamically feasible and spontaneous nature of the sorption. Positive value of DS reveals the increased randomness at the solid–solution interface during the fixation of the ion on the active sites of the sorbent. The effect of other anions was studied and it was found the existence of them in the solution has considerable effect on the sulphate removal.
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SeyedMostafa Hosseini Asl,Reza Katal,Maral Ahmadi,Mohamad Ghiasvand,Ali Tardast 한국공업화학회 2013 Journal of Industrial and Engineering Chemistry Vol.19 No.3
In this present work, artificial neural networks (ANN) are applied for prediction of percentage adsorption efficiency for the removal of Cr(VI) ions from aqueous solution by zeolite (ZFA) prepared from raw fly ash (RFA). The off operational parameters such as initial pH, adsorbent dosage, contact time and temperature is studied to optimize the conditions for maximum removal of Cr(VI) ions. Three equations, i.e. Morris–Weber, Lagergren, and pseudo second order have been tested to track the kinetics of removal process. The Langmuir, Freundlich, Redlich–Peterson, Temkin, and D-R are subjected to sorption data to estimate sorption capacity. Thermodynamic parameters showed that the adsorption of Cr(VI) onto ZFA was feasible, spontaneous and endothermic. Artificial neural networks are effective in modeling and simulation of highly non-liner multivariable relationships. The comparison of the removal efficiencies of Cr(VI) using ANN model and experimental results showed that ANN model can estimate the behavior of the Cr(VI) removal process under different conditions.
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Removal of oil from biodiesel wastewater by electrocoagulation method
Mohsen Vafaie Sefti,Saeb Ahmadi,Ebrahim Sardari,Hamed Reza Javadian,Reza Katal 한국화학공학회 2013 Korean Journal of Chemical Engineering Vol.30 No.3
An attempt has been made to remove oil and grease (O&G) from biodiesel wastewater as well as O&G and turbidity in the presence of H2O2 and polyaluminum chloride (PAC), as a coagulant-aid by an electrochemical method using iron as sacrificial electrodes. The effects of current density, amount of hydrogen peroxide using as an oxidizing agent and addition of coagulant-aid, on percent removal and energy consumption have been investigated. The removal efficiency of O&G was in the range of 62-86%, whereas O&G removal was 100% in the current density range of 10-12.5 mAcm−2 depending on the concentrations of H2O2 and coagulant aid. It is obtained that electrocoagulation in the absence of coagulant aid and oxidant is not too efficient for the treatment of this type of wastewater.
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