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

This study deals with chemicaloxygen demand (COD) removal from ceramic industry wastewater by chemical coagulationusing alum and ferric chloride (FeCl3) as coagulants. The study alsofocuses on the capillary suction time (CST) of sludge samples which is animportant sludge dewatering parameter. Respon...

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Bibliographic Details
Main Author: Hanife Sarı Erkan
Format: Article
Language:English
Published: Sakarya University 2019-04-01
Series:Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi
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Online Access:https://dergipark.org.tr/tr/download/article-file/644163
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Summary:This study deals with chemicaloxygen demand (COD) removal from ceramic industry wastewater by chemical coagulationusing alum and ferric chloride (FeCl3) as coagulants. The study alsofocuses on the capillary suction time (CST) of sludge samples which is animportant sludge dewatering parameter. Response surface methodology (RSM)approach was employed to evaluate the effects and interactions of the operatingvariables and to optimize the performance of the process. Significant quadraticpolynomial 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 ofsludge, respectively). Alum was more effective coagulant for ceramic industrywastewater treatment as compared with FeCl3. Numerical optimizationbased on desirability function was employed; in a 36 min trial 95.2% of CODremoval was achieved at alum dosage of 3.3 g/L and pH 5. The optimization studyshows that the minimum CST of sludge was found 17.4 s at alum dosage of 5 g/Land pH 5 in a reaction time of 16 min. The results indicate that the RSM issuitable for the design and optimization of chemical coagulation process usingalum as a coagulant fort he treatment of ceramic industry wastewater.
ISSN:2147-835X