RSM AND ANN MODELLING FOR COAG-FLOCCULATION OF PARTICULATE OIL FROM SIMULATED OILY NON-PROCESS .....

Chitosan, a polycationic compound, was isolated from periwinkle shell by deproteinization, demineralization, and deacetylation for use as a coagulant with bentonite and sawdust as coagulant aids in the remediation of oily non-process effluent water at a combined ratio of 0.375:0.375:1. At room temperature, the performance of coag-flocculation was studied using a jar test device with three operating parameters: pH (2-12), dosage (3-11) g/l, and settling time (3-30) minutes. As part of the process response, the efficiency of removing particulate oil was measured. Experiments were carried out according to the central composite design, and the data was used to fit models using response surface methodology (RSM) and artificial neural networks (ANN). The maximum particulate oil removal efficiency for RSM and ANN was 84.04 percent and 84.81 percent, respectively, while the maximum turbidity removal efficiency was 85.40 percent, resulting in the creation of nondominated optimal points and providing insight into the process's optimal operating conditions.

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