Özet:

For the optimization of chemical processes, traditional methods by accepting one parameter as variable and keeping other parameters constant are insufficient. Methods that allow the interaction of parameters by modeling the process, such as the response surface method, provide both financial and temporal advantages. In this study, response surface method and central composite design were used to model and optimize the removal parameters of Maxilon Blue GRL dye by photocatalytic method. The catalyst concentration, the amount of ZrO2 used in the production of the catalyst and the reaction time were selected as removal parameters. As a response parameter, the color removal efficiency was investigated. In the single factor analysis, optimum conditions were determined as 0.775g/L catalyst, 0.4g ZrO2 amount and 45min reaction time. With the analysis of 3D surface and contour graphics, it was evaluated that the interaction between catalyst concentration and ZrO2 amount parameters was low, while the interaction of the reaction time parameter with the ZrO2 amount and catalyst concentration parameters was found to be high. In line with the results of the ANOVA analysis and validation experiment, it has been proven that the predicted values of the model can represent the analysis values. In the optimum option chosen for the validation experiment, the estimated value of the model was 90.154%, while 91% removal efficiency was achieved as a result of the analysis.

Anahtar Kelimeler: