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Fatih Ilhan

Researcher at Yıldız Technical University

Publications -  39
Citations -  877

Fatih Ilhan is an academic researcher from Yıldız Technical University. The author has contributed to research in topics: Wastewater & Electrocoagulation. The author has an hindex of 12, co-authored 30 publications receiving 668 citations.

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Treatment of leachate by electrocoagulation using aluminum and iron electrodes

TL;DR: Treatment of leachate by electrocoagulation can be used as a step of a joint treatment and revealed that it has higher treatment performance than classical chemical coagulation process.
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Decolorization and COD reduction of UASB pretreated poultry manure wastewater by electrocoagulation process: A post-treatment study

TL;DR: Findings of this study clearly indicated that incorporation of a toxicological test into conventional physicochemical analyses provided a better evaluation of final discharge characteristics.
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Feasibility of struvite recovery process for fertilizer industry: A study of financial and economic analysis

TL;DR: In this article, a feasibility analysis of the struvite recovery process for a full-scale fertilizer production industry with a 500m 3 /day capacity is presented, and the experimental conditions and chemical combinations that will allow the receiving environment discharge standard for ammonium nitrogen are optimized by taking into account a large number of economic and operating parameters.
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Treatment of Domestic Wastewater by Electrocoagulation in a Cell with Fe–Fe Electrodes

TL;DR: In this article, the potential to treat domestic wastewater using an electrocoagulation (EC) process was tested on two different samples, one of which was heavily loaded [380 mg chemical oxygen demand (COD)/L]; the other was weakly loaded [260 mg COD/L].
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Investigation of Leachate Treatment with Electrocoagulation and Optimization by Response Surface Methodology

TL;DR: In this article, the authors examined the treatability of leachate with the electrocoagulation process and its optimization using the response surface method using three-parameter optimization process and a 5-level, 6-replicate central composite design.