Artificial neural network (ANN) and response surface methodology (RSM) algorithm-based improvement, kinetics and isotherm studies of electrocoagulation of oily wastewater

Murchana Changmai; Monika Singh

首页> 外文期刊>Journal of environmental science and health, Part A. Toxic/hazardous substances & environmental engineering >Artificial neural network (ANN) and response surface methodology (RSM) algorithm-based improvement, kinetics and isotherm studies of electrocoagulation of oily wastewater

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Artificial neural network (ANN) and response surface methodology (RSM) algorithm-based improvement, kinetics and isotherm studies of electrocoagulation of oily wastewater

机译：Artificial neural network (ANN) and response surface methodology (RSM) algorithm-based improvement, kinetics and isotherm studies of electrocoagulation of oily wastewater

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The work reported here focuses on the oil and grease removal from wastewater by the electro-coagulation process and using modeling and optimization for obtaining the results considering four major operating parameters, viz. current density, pH, electrode distance and reaction time. 31 experiments were designed by design of experiments (DOE) of response surface methodology (RSM) and the analysis of variance (ANOVA) studies confirmed the agreement of the experimental results. Artificial neural network (ANN) was also utilized to determine predicted response using neural networks for 4-10-1 arrangement. Both the responses predicted by RSM and ANN were in alignment with the experimental results. Maximum removal of 78% was attained under the working parameters of 80 A m~(-2), 3.6 pH, electrode distance of 0.005 m and reaction time of 20min.

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《Journal of environmental science and health, Part A. Toxic/hazardous substances & environmental engineering》 |2022年第8期|584-592|共9页
作者
Murchana Changmai; Monika Singh;
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作者单位

Department of Chemical Engineering, Birla Institute of Technology and Science Pilani, Dubai, United Arab Emirates;

Department of Forestry and Wood Technology, Linnaeus University, Vaexjoe, Sweden;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
原文格式 PDF
正文语种英语
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关键词
Electrocoagulation; response surface methodology; artificial neural network; optimization; kinetics; oil and grease; wastewater;

Artificial neural network (ANN) and response surface methodology (RSM) algorithm-based improvement, kinetics and isotherm studies of electrocoagulation of oily wastewater

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