Prediction of Paper Mill Wastewater Treatment Process Parameters in Sequencing Batch Reactor using Fuzzy Logic Technique
Saranya S. N.1, S. Lakshmana Kumar2, R. Raj Jawahar3
1Saranya S. N.*, Ph.D. & Research Scholar, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu, India.
2S. Lakshmana Kumar, Assistant Professor, Department of Mechanical Engineering, Sona College of Technology, Salem, Tamil Nadu, India.
3R. Raj Jawahar, CEO, Dynamech Design Solutions, Chennai, India.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 1929-1937 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6004018520/2020©BEIESP | DOI: 10.35940/ijrte.E6004.018520
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Integrated paper and pulp mills utilize logs and wood chips for the production of paper. During the process, the expose of raw effluents affect the environmental factors. In this analysis, waste water from paper mills was processed with the SBR (sequencing batch reactor) cycle. The effect of microbes and aeration periods with varying amounts of waste water on the efficiency of SBRs has been evaluated. During the tests, removal efficiencies of COD, BOD and TDS have been tracked. For experimental design, study and optimization, Box-Behnken core composite architecture was implemented. To maximize SBR performance, Fuzzy logic control was used. The SBR demonstrated higher efficiency in removal output on the basis of the tests. At the optimum conditions of microbe dosage of 55 ml aeration time of 5 hrs and wastewater concentration of 75% and the SBR achieved maximum removal percentage of COD, BOD and TDSis 88.18%, 91.80% and 87.12%respectively.
Keywords: Paper mill wastewater, Phenerocheteschrysosporium, Wastewater treatment, Sequencing batch reactor, Optimization, Fuzzy logic control.
Scope of the Article: Fuzzy logics.