The use of artificial neural network for modeling the decolourization of acid orange 7 solution of industrial by ozonation process

11th Joint Conference on Chemistry in Conjunction with the 4th Regional Biomaterials Scientific Meeting

材料科学;化学;生物科学

Fatimah, S.^1 ; Wiharto, W.^2

Department of Chemical Engineering, Muhammadiyah University of Surakarta, Indonesia^1

Department of Informatic, Sebelas Maret University, Indonesia^2

关键词: Decolourization;    Dyeing process;    Initial concentration;    Oxidizing agents;    Ozonation process;    Ozone concentration;    Synthetic dyes;    Waste processing;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/172/1/012052/pdf
DOI  :  10.1088/1757-899X/172/1/012052

来源: IOP

【 摘 要 】

Acid Orange 7 (AO7) is one of the synthetic dye in the dyeing process in the textile industry. The use of this dye can produce wastewater which will be endangered if not treated well. Ozonation method is one technique to solve this problem. Ozonation is a waste processing techniques using ozone as an oxidizing agent. Variables used in this research is the ozone concentration, the initial concentration of AO7, temperature, and pH. Based on the experimental result that the optimum value decolourization percentage is 80% when the ozone concentration is 560 mg/L, the initial concentration AO7 is 14 mg/L, the temperature is 390 °C, and pH is 7,6. Decolourization efficiency of experimental results and predictions successfully modelled by the neural network architecture. The data used to construct a neural network architecture quasi newton one step secant as many as 31 data. A comparison between the predicted results of the designed ANN models and experiment was conducted. From the modeling results obtained MAPE value of 0.7763%. From the results of this artificial neural network architecture obtained the optimum value decolourization percentage in 80,64% when the concentration of ozone is 550 mg/L, the initial concentration AO7 is 11 mg/L, the temperature is 41 °C, and the pH is 7.9.