Electrocoagulation of Corrugated Box Industrial Effluents and Optimization by Response Surface Methodology

KARABACAKOĞLU B., Tezakıl F.

Electrocatalysis, cilt.14, sa.2, ss.159-169, 2023 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 14 Sayı: 2
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/s12678-022-00781-z
  • Dergi Adı: Electrocatalysis
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Chemical Abstracts Core
  • Sayfa Sayıları: ss.159-169
  • Anahtar Kelimeler: Electrocoagulation, Corrugated box wastewater, Response surface methodology, Central composite design, Optimization, STAINLESS-STEEL ELECTRODES, WASTE-WATER TREATMENT, REMOVAL, RSM, COAGULATION, EFFICIENCY, ALUMINUM, PULP
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.The electrocoagulation method using stainless steel anodes was applied to a corrugated cardboard box manufacturing plant’s wastewater with high COD content. The effects of current density, processing time and stirring speed on response functions were studied using the Response Surface Methodology (RSM). The removal efficiency of chemical oxygen demand (COD) and energy consumption were selected as response functions. The Central Composite Design (CCD) was chosen to explain the single and combined effects of independent variables on response functions. The COD concentration of the real industrial wastewater used in the experiments was 9130 mg L−1. The maximum COD removal efficiency of 91.6% is obtained with 19.78 Wh g−1 energy consumption. Current density and treatment time were effective parameters for both COD removal and energy consumption. Optimization for maximum COD removal with minimum energy consumption showed 80.9% of COD removal with 6.7 Wh g−1 of energy consumption at 15 mA cm−2, 700 rpm, and 28 min treatment time. The variables are optimized with a few experiments using the response surface method. Graphical abstract: [Figure not available: see fulltext.]