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The present investigation was carried out to study the removal of indigo dye using a nonconventional adsorbent coconut shell. The adsorption isotherm is obtained in batch reactor. It is found that dye adsorption capacity (pollutant removal efficiency) of a steady system depends on adsorbent material, pH of solution, adsorbent dose, particle size, initial concentration, and type of activation. It is observed that the process uptake gives insufficiency information to completely understand the adsorption mechanisms, when database is generated for similar characteristics trends in adsorption. In consistency in the characteristic of several adsorbents that is being reported. The attempt made in proposing the empirical model could not fit the experimental data well, which may be due to nonlinear relationship and incomplete understanding between input and output variables. Artificial neural network has the abilities to relate the input and output variables without having any knowledge on physics of the system provided an accurate and large amount of data on system variable to train the networks is available. In this adsorption studies, we are modeling an adsorption system by using ANN for dyes removal from wastewater.
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- Indigo Dye Removal by Using Coconut Shell Adsorbent and Performance Evaluation by Artificial Neural Network
S. K. Deshmukh
- Springer India
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