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۱Applying response surface design to the optimization of removal low concentration malachite green with natural semnan zeolite as adsorbent
نویسنده(ها): ، ، ،
اطلاعات انتشار: دومین کنفرانس بین المللی زئولیت ایران، سال
تعداد صفحات: ۴
A four factor, three–level central composite design combining with response surface modeling (RSM) was employed for maximizing malachite green removal from aqueous solution by natural zeolite based on 31 different experimental data obtained in a lab–scale batch study. four independent variables (initial pH of solution ranging from 3 to 9, initial concentration of dye ranging from 10 to 20 ppm, amount of zeolite ranging from .5 t0 1.5 gr and contact time ranging from 30 to 90 min) were consecutively coded as x1, x2 , x3 and x4 at three levels (−1, 0 and 1), and a second–order polynomial regression equation was then derived to predict responses. The significance of independent variables and their interactions were tested by means of the analysis of variance (ANOVA) with 95% confidence limits . The optimum values of the selected variables were obtained by solving the quadratic regression model, as well as by analyzing the response surface contour plots. The experimental conditions at optimum point were determined to be pH0 = 6.39, initial concentration of dye = 20 ppm,amount of zeolite = 0.6 gr and contact time = 90 min, and the corresponding dye removal efficiency was found to be about 100%.<\div>

۲Central Composite experimental design applied to removal of Methylen blue from aqueous solutions using semnan natural zeolite
نویسنده(ها): ، ، ،
اطلاعات انتشار: دومین کنفرانس بین المللی زئولیت ایران، سال
تعداد صفحات: ۴
The process optimization of decolorization methylen blue from aqueous solutions through semnan natural zeolite using statistical design of experiments (DOE) is reported in the present study.The natural zeolite was provided from semnan zeolite mine. The effect of four important process variables, Initial pH (3–9), amount of zeolite (0.3 – 1.0 gr , initial of dye concentration (30– 50ppm) and contact time (30–90 min) on the removal performance of the was studied. The response surface methodology (RSM) coupled with central composite design (CCD) was used to develop model to correlate the effect of process variables to one response: (i) dye removal efficiency. The most influential factor on decolorization was identified using the analysis of variance (ANOVA). The interaction between the four variables was systematically investigated based on countor plots. The optimum operating condition for the process was determined by setting the optimization criteria to maximize the dye removal efficiency. The optimum dye removal efficiency of 99 percent was obtained at a initial pH of 6.01, amount of zeolite 0.65 , initial of dye concentration 40 ppm and contact time of 60 minute .<\div>
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