PMID- 35730353 OWN - NLM STAT- MEDLINE DCOM- 20220727 LR - 20221207 IS - 1532-4117 (Electronic) IS - 1093-4529 (Linking) VI - 57 IP - 7 DP - 2022 TI - Artificial neural network (ANN) and response surface methodology (RSM) algorithm-based improvement, kinetics and isotherm studies of electrocoagulation of oily wastewater. PG - 584-592 LID - 10.1080/10934529.2022.2090192 [doi] AB - The work reported here focuses on the oil and grease removal from wastewater by the electrocoagulation 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 20 min. FAU - Changmai, Murchana AU - Changmai M AD - Department of Chemical Engineering, Birla Institute of Technology and Science Pilani, Dubai, United Arab Emirates. FAU - Singh, Monika AU - Singh M AD - Department of Forestry and Wood Technology, Linnaeus University, Vaxjo, Sweden. LA - eng PT - Journal Article DEP - 20220622 PL - England TA - J Environ Sci Health A Tox Hazard Subst Environ Eng JT - Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering JID - 9812551 RN - 0 (Oils) RN - 0 (Waste Water) SB - IM MH - Algorithms MH - Electrocoagulation MH - Kinetics MH - *Neural Networks, Computer MH - Oils MH - *Wastewater OTO - NOTNLM OT - Electrocoagulation OT - artificial neural network OT - kinetics OT - oil and grease OT - optimization OT - response surface methodology OT - wastewater EDAT- 2022/06/23 06:00 MHDA- 2022/07/28 06:00 CRDT- 2022/06/22 04:23 PHST- 2022/06/23 06:00 [pubmed] PHST- 2022/07/28 06:00 [medline] PHST- 2022/06/22 04:23 [entrez] AID - 10.1080/10934529.2022.2090192 [doi] PST - ppublish SO - J Environ Sci Health A Tox Hazard Subst Environ Eng. 2022;57(7):584-592. doi: 10.1080/10934529.2022.2090192. Epub 2022 Jun 22.