1402/12/07
علی اکبر عموئی

علی اکبر عموئی

مرتبه علمی: دانشیار
ارکید:
تحصیلات: دکترای تخصصی
اسکاپوس:
دانشکده: دانشکده مهندسی و فناوری
نشانی:
تلفن: 01135305105

مشخصات پژوهش

عنوان
Modeling the Removal of Endosulfan from Aqueous Solution by Electrocoagulation Process Using Artificial Neural Network (ANN)
نوع پژوهش
JournalPaper
کلیدواژه‌ها
Electrocoagulation
سال
2015
مجله industrial and engineering chemistry research
شناسه DOI
پژوهشگران Saeid Salkhordeh-panbechouleh ، Shahram Ghasemi ، Ali Amoiee ، Seyed Mohammad Mirsoleimani-azizi

چکیده

Electrocoagulation (EC) is an electrochemical method to treat polluted wastewaters and aqueous solutions. In this research, EC was used to remove Endosulfan from aqueous solution. The results show that the best conditions that obtained in this study are pH = 4, current density = 6.2 mA/cm 2 , initial concentration of Endosulfan = 30 mg/L, and electrolysis time = 60 min. The solution conductivity seems to have no significant effect on the removal efficiency. Artificial neural network (ANN) was utilized to model the experimental data. The model was developed by using three layer feed-forward neural network with eight neurons in the hidden layer for modeling of EC process. A comparison between the predicted results and experimental data gave high correlation coefficient (R 2 = 0.976) and showed that the model is able to predict the removal efficiency.