Výsledky vyhledávání - "Artur S.C. Rego"

Akademický článek

KAl(SO4)2 thermal decomposition kinetics modeling through graphical and PSO methods

Autor: Artur S.C. Rego, Carolina V.B. Marprates, Talita S.X. Silva, João G. Neto, Rogério C.S. Navarro, Rodrigo F.M. Souza, Eduardo A. Brocchi

Publikováno v: Journal of Materials Research and Technology, Vol 14, Iss , Pp 1975-1984 (2021)

The present manuscript proposes the use of two different approaches for kinetic modeling to study the thermal decomposition of sulfates: a graphical one (sigmoid) and a stochastic one (particle swarm optimization - PSO). Three scenarios were analyzed

Externí odkaz: https://doaj.org/article/e776c56b670a43738fee6262b5820afc

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Akademický článek

Treatment of oily wastewater from mining industry using electrocoagulation: Fundamentals and process optimization

Autor: Antonio G. Merma, Brunno F. Santos, Artur S.C. Rego, Ronald R. Hacha, Maurício L. Torem

Publikováno v: Journal of Materials Research and Technology, Vol 9, Iss 6, Pp 15164-15176 (2020)

The present work proposes a careful study of the effects of different operational factors on the electrocoagulation process of synthetic oil-water emulsions. The experimental conditions used were the pH of the solution, current density, electrolyte c

Externí odkaz: https://doaj.org/article/69ead655c8364f498005d66d11280720

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General Method for Speeding Up Kinetic Monte Carlo Simulations

Autor: Artur S.C. Rego, Amanda L. T. Brandão

Publikováno v: Industrial & Engineering Chemistry Research. 59:9034-9042

Kinetic Monte Carlo (MC) is the main stochastic strategy used to simulate polymerization systems, as it gives good results with simple formulation. Normally, the algorithm used in this method prese...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4f5c460f5c75f783c7328c45b78f6bb1
https://doi.org/10.1021/acs.iecr.0c01069

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Effect of an Alumina Supported Palladium Catalyst on the Magnesium Sulfate Decomposition Kinetics

Autor: José Brant de Campos, Eduardo de Albuquerque Brocchi, Francisco José Moura, Rodrigo Souza, Artur S.C. Rego, Nathalli M. Mello

Publikováno v: Materials Research, Volume: 23, Issue: 6, Article number: e20200344, Published: 18 JAN 2021
Materials Research, Vol 23, Iss 6 (2021)
Materials Research v.23 n.6 2020
Materials research (São Carlos. Online)
Universidade Federal de São Carlos (UFSCAR)
instacron:ABM ABC ABPOL

The sulfur related thermochemical water-splitting cycles are an important class of chemical processes considered for hydrogen production. Recently, the magnesium sulfate thermal decomposition has been reported as a potential unit operation in one of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3820432a7f5f11f222b8e33c3b602f13
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392020000600222&lng=en&tlng=en

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Optimization of sugarcane bagasse pretreatment using alkaline hydrogen peroxide through ANN and ANFIS modelling

Autor: Cecília Vilani, Isabelle C. Valim, A. A. S. Vieira, Brunno F. Santos, Artur S.C. Rego

Publikováno v: Bioresource Technology. 267:634-641

The present study compares the optimization using Artificial Neural Networks (ANN) and Adaptive Network-based Fuzzy Inference System (ANFIS) in the sugarcane bagasse delignification process using Alkaline Hydrogen Peroxide (AHP). Two variables were a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb96aa6c2fbe7a8b2333c6722134b48b
https://doi.org/10.1016/j.biortech.2018.07.087

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Use of Artificial Intelligence to Experimental Conditions Identification in the Process of Delignification of Sugarcane Bagasse from Supercritical Carbon Dioxide

Autor: V. Brant, A. B. A. Queiroz, Brunno F. Santos, Cecília Vilani, Antonio Augusto Fidalgo Neto, Isabelle C. Valim, Artur S.C. Rego

This study evaluated the use of artificial neural networks (ANN) as tools to predict and identify the experimental conditions used in the process of delignification of sugarcane bagasse using supercritical carbon dioxide (ScCO2). The experimental con

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f5e076c4520c4deccd34bc54326df193
https://doi.org/10.1016/b978-0-444-64235-6.50256-4

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Neural network modeling to support an experimental study of the delignification process of sugarcane bagasse after alkaline hydrogen peroxide pre-treatment

Autor: Isabelle C. Valim, Juliana L.G. Fidalgo, Artur S.C. Rego, Cecília Vilani, Brunno F. Santos, Ana Rosa Fonseca de Aguiar Martins

Publikováno v: Bioresource technology. 243

The present study examines the use of Artificial Neural Networks (ANN) as prediction and fault detection tools for the delignification process of sugarcane bagasse via hydrogen peroxide (H2O2). Experimental conditions varied from 25 to 45 °C for tem

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5893755fd791ee2aaf18ad8b31fae7ab
https://pubmed.ncbi.nlm.nih.gov/28711805

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