Abstract :
In this work, ANN model has been used to optimize the input factors in the ultrasonication process. The required parameters for the ultrasonication process to achieve the maximum percentage of solids reduction are derived using the optimization methods. Experiments are conducted to verify the optimum parameters achieved. Eight samples of untreated water have been subjected to five treatment methods. The treatment methods like STP, RZT, TWP, Ultrasonication and Optimized ultrasonication treatment methods are used to treat the water and the values of parameters like pH, TSS, TDS, COD and BOD are measured for all the five methods. The improvement in each method is analyzed. It has been determined that Optimized ultrasonication treatment method yielded the best performance over all other four methods.
Keyword :
Waste water treatment process, artificial neural networks, ultrasonication, sludge treatment, environmental protection