2010
DOI: 10.1016/j.seppur.2009.10.011
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Optimisation of energy consumption in arsenic electro-removal from groundwater by the Taguchi method

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Cited by 25 publications
(8 citation statements)
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“…Results demonstrate the complexity of the system and the need for additional work to clarify this process. In this context, other recent works about aluminium and iron electrocoagulation try to clarify the complexity of electrocoagulation processes through statistical modeling rather than mechanistic understanding of the processes involved [11,12]. Also, the removal of arsenic from industrial wastes has been studied, focusing the attention in this case on the treatability of highly arsenic polluted solutions [13,14].…”
Section: Introductionmentioning
confidence: 99%
“…Results demonstrate the complexity of the system and the need for additional work to clarify this process. In this context, other recent works about aluminium and iron electrocoagulation try to clarify the complexity of electrocoagulation processes through statistical modeling rather than mechanistic understanding of the processes involved [11,12]. Also, the removal of arsenic from industrial wastes has been studied, focusing the attention in this case on the treatability of highly arsenic polluted solutions [13,14].…”
Section: Introductionmentioning
confidence: 99%
“…The OA is the shortest possible matrix of combinations and all the parameters in OA are varied at the same time. Thus, their effects and performance interactions are studied simultaneously to determine which factors have the greatest effects . Based on the critical problem in this study, the Taguchi method developed by Dr. Taguchi , which is suitable in selection of influential factor to carry out the optimal parameters of a process or product of interest , is properly employed in resolving the problem.…”
Section: Methodsmentioning
confidence: 99%
“…The employment of an orthogonal array to design the experiments and SN ratio to analyze the experimental data enables the designer to simultaneously study the effects of multiple control factors of the average quality characteristics and variance in a fast and economical way. Thus, within the process of an experiment requiring very few experimental runs, a full factorial experiment can be created to obtain the optimum synthesis parameters 12–16…”
Section: Methodsmentioning
confidence: 99%