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Spent wash Decolorization using Granular and Powdered Activated Carbon: Taguchi’s Orthogonal Array design and ANN approach

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Author(s):
Charles David, M.Arivazhagan, J.Hariram, P.Sruthi
Volume
2, No.1
Pages:
224-229
Year of Publication:
April,2016
Journal of Applied Science and Engineering Methodologies
ISSN:
2395–5341
Citation: Charles David, M.Arivazhagan, J.Hariram, P.Sruthi.(2016).Spent wash Decolorization using Granular and Powdered Activated Carbon: Taguchi’s Orthogonal Array design and ANN approach . Journal of Applied Science and Engineering Methodologies,Vol.2,No.1,pp.224-229.
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Abstract:
The intense colour of the spent wash effluent results in the crucial ecological issue when released untreated into the natural water resources. The decolorization of distillery spent wash effluent is a very difficult task. In this study, the performance efficiencies of powdered activated carbon (PAC) and granular activated carbon (GAC) were compared towards the degradation of organic pollutants in terms of colour. The process parameters such as adsorbent dosage, pH, the initial concentration of the effluent and the operating temperature were optimized to attain the maximum decolorization efficiency. Optimization of the process parameters using Taguchi Orthogonal Array (OA) experimental design resulted in a maximum of 95% spent wash decolorization using PAC and 44% using GAC respectively. Using Artificial Neural Network (ANN), a two layered feedforward backpropagation model resulted as the best performance and predictive model for spent wash decolorization. The experimental data was found to be in excellent agreement with the predicted results from the ANN model.
Keywords:Adsorption, Color removal, Optimization, Validation, Wastewater treatment

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