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Journals / Sakarya University Journal of Science / 2026 / Volume: 23 Issue: 2

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

Hanife Sarı Erkan0000-0003-1701-6482
Pages
—
Publication Date
2019-04-01
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

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.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study deals with chemical oxygen demand (COD) removal from ceramic industry wastewater by chemical coagulation using alum and ferric chloride (FeCl 3 ) as coagulants.
📊
Key Findings & Data: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.
💡
Conclusion & Impact: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.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:ceramic industry wastewater · chemical coagulation · response surface method

Abstract

This study deals with chemical oxygen demand (COD) removal from ceramic industry wastewater by chemical coagulation using alum and ferric chloride (FeCl 3 ) 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 (R 2 = 96.26% for alum and R 2 =89.15% for FeCl 3 for COD removal; R 2 = 96.6% for alum and R 2 =90.9% for FeCl 3 for CST of sludge, respectively). Alum was more effective coagulant for ceramic industry wastewater treatment as compared with FeCl 3 . 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.

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Cite This Article

Erkan, H. S. (2019). Ceramic Industry Wastewater Treatment By Chemical Coagulation Process: A Statistical Optimization of Operating Parameters. Sakarya University Journal of Science, Volume: 23 Issue: 2. https://doi.org/10.16984/saufenbilder.385584

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  26. M.F. Chong, K.P. Lee, H.J. Chieng and I.I.S.B. Ramli, “Removal of boron from ceramic industry wastewater by adsorption– flocculation mechanism using palm oil mill boiler (POMB) bottom ash and polymer,” Water Research, vol. 43, no.13, pp. 3326-3334, 2009
  27. Water Pollution and Control Regulation, 2004. Ministry of Env andUrbanization. MoEU, Turkey, http://www.mevzuat.gov.tr/Metin.Aspx?MevzuatKod=7.5.7221&sourceXmlSearch=&MevzuatIliski=0, (Accessed 29 January 2018)
  28. B.K. Körbahti, “Response surface optimization ofelectrochemical treatment of textile dye wastewater,” Journal of Hazardous Materials, vol. 145, pp. 277–286, 2007
  29. S.C. Kim, “Application of response surface method as anexperimental design to optimize coagulation-flocculationprocess for pre-treating paper wastewater,” Journal of Industrial and Engineering Chemistry, vol. 38, pp. 93–102, 2016
  30. N. Bakaraki Turan, H. Sari Erkan and G. Onkal Engin, “The investigation of shale gas wastewatertreatment by electro-Fenton process: Statistical optimization of operational parameters,” Process Safety and Environmental Protection, vol. 109, pp. 203–213, 2017
  31. B.K. Körbahti and M.A. Rauf, “Response surface methodology (RSM) analysis of photo induced decoloration of toludine blue,” Chemical Engineering Journal, vol. 136, pp. 25–30, 2008
  32. I. Arslan-Alaton, G. Tureli and T. Olmez-Hanci, “Treatment ofazo dye production wastewaters using Photo-Fenton-like advanced oxidation processes: optimization by response surface methodology,” Journal of Photochemistry and Photobiology A: Chemistry, vol. 202, pp. 142–153, 2009
  33. P. A. Vesilind, “Capillary suction time as a fundamental measure of sludge dewaterability,” Journal Water Pollution Control Federation, vol. 60, no. 2, pp. 215-220, 1988
  34. G.W.Chen, W.W.Lin and D.J.Lee, “Capillary suction time (CST) as a measure of sludge dewaterability,” Water Science and Technology, vol. 34, no. 3-4, pp. 443-448, 1996
  35. A.R. Amani-Ghadima, S. Aber, A. Olad and H. Ashassi-Sorkhabi, “Optimization of Electrocoagulation Process for Removal of An Azo Dye Using Response Surface Methodology and Investigation on the Occurrence of Destructive Side Reactions,” Chemical Engineering and Processing, vol. 64, pp. 68-78, 2013
  36. R. Sridhar, V. Sivakumar and K. Thirugnanasambandham, “Response surface modeling and optimization of upflow anaerobic sludge blanket reactor process parameters for the treatment of bagasse based pulp and paper industry wastewater,” Desalination and Water Treatment, vol. 57, pp. 4345–4356, 2016.