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International Journal of Applied Science and Engineering Scopus

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篇名 Optimization of Process Parameters for the Removal of Chromium (VI) from Waste Water Using Mixed Adsorbent
卷期 16:3
作者 Darapureddi KrishnaGantala Santhosh KumarDandu Radha Prasada Raju
頁次 187-200
關鍵字 Box-behnken design artificial neural network mixed adsorbentCr Scopus
出刊日期 201911
DOI 10.6703/IJASE.201911_16(3).187

中文摘要

英文摘要

Use of mixed adsorbent (Borasus Flabellifer coir powder and Ragi Husk powder) for the removal of chromium (VI) from waste water has been investigated in a batch mode process wherein influences of parameters like initial Cr (VI) concentration (20-60 mg/L), pH (1-3) and mixed adsorbent dosage (10-14 g/L) on Cr (VI) adsorption were tested by adopting both Box-Behnken Design (BBD) in response surface methodology and Feed Forward Artificial Neural Network (ANN). Optimum conditions for maximum removal of Cr (VI) from waste water of 20 mg/L have been analyzed by both the models, viz, mixed adsorbent dosage (12.3099 g/L in BBD and 12.1928 g/L in ANN), pH (1.6162 in BBD and 2.0912 in ANN) and initial Cr (VI) concentration (20.0261 mg/L in BBD and 20 mg/L in ANN). An ANN model was also developed in which 6 neurons were used in the hidden layer. The SEM and EDS photographs have indicated the surface morphology of mixed adsorbent and confirmation of metal ions adsorption.

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