Search Results - "Santos, Brunno F."

Prediction of the residual flexural strength of fiber reinforced concrete using artificial neural networks by Congro, Marcello, Monteiro, Vitor Moreira de Alencar, Brandão, Amanda L.T., Santos, Brunno F. dos, Roehl, Deane, Silva, Flávio de Andrade

“…•This study proposes a database of hooked-end SFRC for an ANN model.•The ANN model well predicts the post-peak strength in bending based on EN 14651.•The model…”
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Development of Artificial Neural Network Models for the Simulation of a CaCO3 Scale Formation Process in the Presence of Monoethylene Glycol (MEG) in Dynamic Tube Blocking Test Equipment by Ferreira, Bruno X, Barbosa, Carlos R. Hall, Cajaiba, João, Kartnaller, Vinicius, Santos, Brunno F

“…The precipitation of gas hydrate and inorganic salts (scale) during oil and gas production represents a significant flow assurance hindrance for the industry…”
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Simulation of Poly-lactic Acid Production from Sugarcane Bagasse Constituents Extracted with Supercritical Water by Alexandre V. Grillo, Brunno F. Santos

“…Lignocellulosic materials can come from a variety of sources, including agro-industrial residues, and can serve as raw material to produce various chemical…”
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Optimization of sugarcane bagasse pretreatment using alkaline hydrogen peroxide through ANN and ANFIS modelling by Rego, Artur S.C., Valim, Isabelle C., Vieira, Anna A.S., Vilani, Cecília, Santos, Brunno F.

“…•Investigation of experimental variables in alkaline pretreatment.•Sugarcane bagasse was pretreated with hydrogen peroxide minimizing the formation of…”
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Treatment of oily wastewater from mining industry using electrocoagulation: Fundamentals and process optimization by Merma, Antonio G., Santos, Brunno F., Rego, Artur S.C., Hacha, Ronald R., Torem, Maurício L.

“…The present work proposes a careful study of the effects of different operational factors on the electrocoagulation process of synthetic oil-water emulsions…”
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Comparison between response surface methodology and artificial neural network: Application in three‐product hydrocyclones by Santos, Lucas F. L., Ferreira, Bruno X., Brandão, Amanda L. T., Santos, Brunno F.

“…Modelling a process or equipment is a profitable strategy to build better control strategies, predict fault conditions, and optimize the processes. Different…”
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Statistical Analysis in Database of Offshore Naturally Flowing Wells with Abnormal Events by Raul M. F. U. Foronda, Victoria M. Fracassio, Rejane B. Santos, Brunno F. Santos

“…The development of statistical analysis in the oil and gas industry database represents the importance of seeking improvements in safety and preventing…”
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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 by Valim, Isabelle C., Fidalgo, Juliana L.G., Rego, Artur S.C., Vilani, Cecília, Martins, Ana Rosa F.A., Santos, Brunno F.

“…•Sugarcane bagasse was chemical pretreated using hydrogen peroxide (H2O2).•The FT-IR efficacy is specified by the lignin quantity after…”
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Polynomial and ANN models applied to the formation of gums in Brazilian ethanol–gasoline blends—impact of gasoline composition, ethanol concentration, storage temperature, and aging duration by S. P. Carvalho, José Eduardo, F. Santos, Brunno, F. A. Martins, Ana Rosa, L. Braga, Sergio, N. C. Pradelle, Renata, Turkovics, Franck, Perrier, Béatrice, Maire, François, Pradelle, Florian

“…This work aims to define the influence of different parameters (such as ethanol concentration, type (regular or homologation fuel), and formulation (olefin and…”
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Development of Intelligent Models for the Prediction the Dynamics of Nonlinear Process by Eric Luz, Brunno F. Santos

“…The use of artificial intelligence (AI) techniques to address nonlinearity problems is gaining importance, mainly in context of industry 4.0. The present work…”
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Optimization of the Copper Recovery from Printed Circuit Boards Using Artificial Intelligence as Strategy by Tamires P. Bezerra, Alexandre V. Grillo, Brunno F. Santos

“…There is an increasing interest in the secondary sources of metals in order to compensate their potential supply deficit. Copper is the main component of…”
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Artificial Neural Network Modelling for Biogas Production in Biodigesters by Artur Rego, Sibele Leite, Brenno Leite, Alexandre V. Grillo, Brunno F. Santos

“…The use of the biodigestion is considered promising for the energetic valorization of agriculture biomass such as swine farm sewage and lignocelulosic…”
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Thermogravimetric Study of Raw and Recycled Polyethylene Using Genetic Algorithm for Kinetic Parameters Estimation by Artur Rego, Alessandra S. Silva, Alexandre V. Grillo, Brunno F. Santos

“…Long-life packages are composed by two main materials: paper and low-density polyethylene (LDPE) with aluminium composite. Usually, the packages are disposed…”
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Development of Mathematical Model Based on Artificial Neural Network to Predict Density in Polymerization Process of Styrene by Isabelle C. Valim, Alessandra M. M. Silva, Alexandre V. Grillo, Brunno F. Santos

“…In the chemical industry is important to control the process in order to guarantee the quality and repeatability of the final product. Using sensors in the…”
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Parameter Estimation of Biosurfactant Production from Agro-industrial Waste Using Genetic Algorithm by Campos, Ana Luiza, Nogueira, Júlia, Coelho, Filipe A., Santos, Brunno F.

“…Although various kinds of kinetic models were proposed to describe the dynamic behaviour of biologically reacting systems, very little studies have been…”
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Use of Genetic Algorithm and Particle Swarm Optimization in the Estimation of Kinetic Parameters of Green Coconut Biomass by Isabelle C. Valim, Felipe Z. R. Monteiro, Amanda L. Brandao, Alexandre V. Grillo, Brunno F. Santos

“…The development of more economically and energy-efficient processes for the sustainable production of fuels and chemicals is becoming increasingly necessary…”
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Leak Detection Modeling Of a Pipeline Using Echo State Neural Networks by Ribeiro, Alexandre M., Grossi, Caroline D., Santos, Brunno F., Santos, Rejane B., Fileti, Ana M.F.

“…Considering the importance of monitoring piping systems, the aim of this work is to develop a technique to detect gas leaks in pipes, based on acoustic method…”
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Use of Artificial Intelligence to Experimental Conditions Identification in the Process of Delignification of Sugarcane Bagasse from Supercritical Carbon Dioxide by Valim, Isabelle C., Rego, Artur S.C., Queiroz, Alex, Brant, Vinnicius, Neto, Antônio A.F., Vilani, Cecília, Santos, Brunno F.

“…This study evaluated the use of artificial neural networks (ANN) as tools to predict and identify the experimental conditions used in the process of…”
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Assessment of TiO2 band gap from structural parameters using artificial neural networks by Fidalgo, Annita, Letichevsky, Sonia, Santos, Brunno F.

“…[Display omitted] •TiO2 properties: crystallite size, crystalline phase, transition type and band gap.•Non-empirical properties relation study using 220 TiO2…”
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Development of Artificial Neural Network Models for the Simulation of a CaCO 3 Scale Formation Process in the Presence of Monoethylene Glycol (MEG) in Dynamic Tube Blocking Test Equipment by Ferreira, Bruno X., Barbosa, Carlos R. Hall, Cajaiba, João, Kartnaller, Vinicius, Santos, Brunno F.

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