Banca de DEFESA: MARCOS FERRER LIMA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : MARCOS FERRER LIMA
DATE: 17/08/2023
TIME: 09:00
LOCAL: https://conferenciaweb.rnp.br/ufabc/defesa-mestrado-marcos-ferrer
TITLE:

MODELING AND OPTIMIZATION OF THE INDUSTRIAL TREATMENT OF PHENOLIC EFFLUENT BY HOMOGENEOUS FENTON PROCESS: Artificial Neural Networks and Design of Experiments

PAGES: 20
BIG AREA: Engenharias
AREA: Engenharia Química
SUBÁREA: Tecnologia Química
SPECIALTY: Água
SUMMARY:

This work aimed to find the best operational conditions to optimize the homogeneous Fenton process used in the treatment of phenolic effluent from a chemical industry, located in the Petrochemical Complex of ABC, in the city of Mauá (São Paulo, Brazil). In the effluent of the company under study, there is great variability in the concentration of phenol, which justifies the use of the homogeneous Fenton process, which involves the formation of hydroxyl radicals (•OH), with a high power of oxidation of organic matter, from the H2O2, catalyzed by Fe2+ in acid medium. In this work, the following steps were performed: modeling of the process by artificial neural networks (ANN), to determine the best ratio [Fe+2]:[H2O2] to be used in the removal of phenol; process optimization using a design of experiments (DoE), to determine the best operating conditions for temperature (20 to 40 °C) and pH (2 to 4) variables; and the fractional dosage of the hydrogen peroxide reagent. An inverse feedforward ANN with three layers was used. In the ANN input layer, 2 neurons were used: initial concentration of phenol (10 to 800 ppm) and final concentration of phenol (1 to 5 ppm). At the output of the ANN, 2 neurons were inserted: ferrous sulfate mass and hydrogen peroxide mass. The database used was obtained directly from data from the company's industrial treatment. For the application of ANN in the real process, the best model was implemented in an Excel spreadsheet, thus allowing estimation of the amounts of ferrous sulfate and hydrogen peroxide as a function of the initial concentration of phenol present in the effluent. According to the optimal region determined by the DoE, the pH was acidified to a range of 3 to 4 (≈3.7) and the temperature was maintained within the optimal range of 30 to 40 °C (≈37 °C). Hydrogen peroxide was injected in the process in two stages, with 70% of the mass calculated by the ANN in the first stage and after 30 minutes of reaction, the remaining mass (30%) was injected. Before applying the optimized parameters to the actual process, the percentage for a single treatment averaged 45% to obtain the process specification (phenol concentration ≤ 5 ppm). When applying the optimized parameters in the process, the percentage averaged 93%. This means lower cost and less time spent treating the company's phenolic effluent.

COMMITTEE MEMBERS:
Presidente - Interno ao Programa - 233.691.308-90 - YVAN JESUS OLORTIGA ASENCIOS - UNIFESP
Membro Titular - Examinador(a) Interno ao Programa - 1762430 - DALMO MANDELLI
Membro Titular - Examinador(a) Externo à Instituição - ANA MARIA FRATTINI FILETI - UNICAMP
Membro Suplente - Examinador(a) Interno ao Programa - 1814655 - LUCIA HELENA GOMES COELHO
Membro Suplente - Examinador(a) Externo à Instituição - TIAGO DIAS MARTINS