Ceramic Industry Wastewater Treatment By Chemical Coagulation Process: A Statistical Optimization of Operating Parameters

Year 2019, Volume: 23 Issue: 2, 233 - 243, 01.04.2019

Hanife Sarı Erkan

https://doi.org/10.16984/saufenbilder.385584

Cited By: 3

Abstract

This study deals with chemical
oxygen demand (COD) removal from ceramic industry wastewater by chemical coagulation
using alum and ferric chloride (FeCl₃) as coagulants. The study also
focuses on the capillary suction time (CST) of sludge samples which is an
important sludge dewatering parameter. Response surface methodology (RSM)
approach was employed to evaluate the effects and interactions of the operating
variables and to optimize the performance of the process. Significant quadratic
polynomial models were obtained (R² = 96.26% for alum and R²=89.15%
for FeCl₃ for COD removal;  R²
= 96.6% for alum and R²=90.9% for FeCl₃ for CST of
sludge, respectively). Alum was more effective coagulant for ceramic industry
wastewater treatment as compared with FeCl₃. Numerical optimization
based on desirability function was employed; in a 36 min trial 95.2% of COD
removal was achieved at alum dosage of 3.3 g/L and pH 5. The optimization study
shows that the minimum CST of sludge was found 17.4 s at alum dosage of 5 g/L
and pH 5 in a reaction time of 16 min. The results indicate that the RSM is
suitable for the design and optimization of chemical coagulation process using
alum as a coagulant fort he treatment of ceramic industry wastewater. 

Keywords

ceramic industry wastewater, chemical coagulation, response surface method

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