Banca de QUALIFICAÇÃO: MARCOS FERRER LIMA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : MARCOS FERRER LIMA
DATE: 24/04/2023
TIME: 14:00
LOCAL: https://conferenciaweb.rnp.br/webconf/yvan-jesus-olortiga-asencios
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 parameters and operating conditions to improve and optimize the homogeneous Fenton process used in the treatment of phenolic effluent from a chemical industry. Phenol is an organic compound of the aromatic class that is extremely dangerous, corrosive and highly toxic to biological systems. When the effluent was characterized, it was verified that there is a great variability in the concentration of phenol (from 60 ppm to 3000 ppm), which justifies the use of one of the Advanced Oxidative Processes (AOPs) for the treatment of phenol mineralization, in this case the process adopted by the company is the homogeneous Fenton, which involves the formation of hydroxyl radicals (•OH), with a high oxidation power of organic matter, coming from H2O2, catalyzed by Fe2+ in an acid medium. The present work began with the creation of a database, where the treatment process was mapped with data referring to the initial concentration of phenol, the amounts of reagents (ferrous sulfate and hydrogen peroxide) and the final concentration of phenol. The process was modeled by Artificial Neural Networks (ANN), using the MATLAB software, to determine the best ratio [Fe+2]:[H2O2] to be used in the mineralization of phenol. With 32 neurons in the hidden layer in 303 iterations, the stoichiometric ratio indicated by the ANN for [Fe+2]:[H2O2] was 1:6.5 mass/mass. With the proportion of the amounts of reagents indicated by the ANN, a Factorial Experimental Planning (22) was carried out in the laboratory, to verify the best operational conditions in relation to the independent variables: pH and temperature. Eleven experiments were carried out, varying the pH from 2 to 4 and the temperature from 20 ºC to 40 ºC. Phenol removal ranged from 87.5% to 99.17%, where seven tests obtained removal above 95%, considered ideal. The optimal region found in the response surface graph was for pH around 3.7 and temperature above 35 ºC. Prior to the project the success rate for a single batch Fenton treatment was below 57%. When applying the model in the process, it was verified that the objective of the work was achieved, as this percentage was between 77.7% and 88.3%.

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