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Tahmaseb Hatami,Masoud Rahimi,Hiua Daraei,Ehsan Heidaryan,Ammar Abdulaziz Alsairafi 한국화학공학회 2012 Korean Journal of Chemical Engineering Vol.29 No.5
Two different modeling methods have been proposed to relate the Peng-Robinson-Stryjek-Vera (PRSV)parameter, κ1, to some common thermodynamic constants, including critical temperature (Tc), critical pressure (Pc),acentric factor (ω) and molecular weight (Mw). The methods are artificial neural network (ANN) and adaptive networkbased fuzzy inference System (ANFIS). A set of 159 data points (116, 23 and 20) was used for construct training, validating and testing, respectively. The radius parameter of ANFIS was determined through genetic algorithm (GA) optimization technique. The ANN and especially ANFIS results are in a good agreement with most of the compound groups.
Khosro Hossienzadeh,Afshin Maleki,Hiua Daraei,Mahdi Safari,Radheshyam Pawar,이승목 한국화학공학회 2019 Korean Journal of Chemical Engineering Vol.36 No.8
The present study investigated the efficiency of transition metal-doped ZnO nanoparticles (NPs) in the removal of Direct Blue 71 from aqueous solutions through photocatalytic (UV and visible light) and sonocatalytic processes. The ZnO particles were synthesized and analyzed by the SEM, XRD, FTIR, AFM, DLS, and zeta potential. The reaction conditions were optimized by concerned catalyst (i.e., dopant percentage and catalyst amount), solution pH, catalyst dose and initial dye concentration. The results demonstrated that the Ag-doped ZnO NPs could provide the highest UV light-based photocatalytic efficiency, while the Cu-doped NPs present the greatest sonocatalytic and visible light-based photocatalytic efficiencies. In all processes, the dye removal efficiency was better in acidic pH. Based on the insignificant difference of efficiency over the acidic range of pH, the natural pH of the dye, i.e., 5.6, was considered as the optimal pH value. Also, the increase of dopant percentage enhanced the decolorization efficiency of the catalysts. However, 2.5% dopant amount was selected as the optimal dopant content due to the negligible difference in the decolorization percentages observed using the 2.5 and 5% dopant percentages. Furthermore, the increase of catalyst dose and contact time increased the removal efficiency, while the increase of initial dye concentration resulted in a lower extent of dye decolorization.
Roya Ebrahimi,Afshin Maleki,Yahya Zandsalimi,Reza Ghanbari,Behzad Shahmoradi,Reza Rezaee,Mahdi Safari,주상우,Hiua Daraei,Shivaraju Harikaranahalli Puttaiah,Omid Giahi 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.73 No.-
The present study aimed at evaluating the application of tungsten oxide-doped zinc oxide nanoparticlesfor the photocatalytic degradation of Direct Blue 15 dye in a sequencing batch reactor. ZnO nanoparticleswere doped with WO3 through hydrothermal synthesis method. To characterize the synthesizednanoparticles scanning electron microscopy, X-ray diffraction, Fourier transform infrared spectroscopy,atomic force microscopy, zeta potential analysis, and ultraviolet–visible spectroscopy were used. Theradiation source in this study wasfive 6 W UV lamps. Operational parameters affecting the process,namely pH, light intensity, dopant percentage, dye concentration, and contact time, were evaluated. Theresults of the present study revealed that the efficiency of the photocatalytic process for the degradationof organic dyes was higher at acidic pH values than neutral or basic values. In addition, upon increasingthe light intensity from 172 to 505 W/m2, the efficacy of dye degradation was enhanced from 27.8 to73.5%. Increasing the concentration of the dopant percentage from 1 to 5% w/v increased the degradationefficacy from 30.69 to 73.1%. Increasing the initial dye concentration from 20 to 100 mg/L decreased thedegradation efficacy from 86.9 to 37.5%. Photocatalytic process using WO3-doped ZnO nanoparticlesfixedon a glass surface thus was proven to show a good efficiency for the degradation of organic dye in aquaticsolutions.