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Publications (55)
This study examines a biorefinery in an orange‐juice processing plant that uses sweet orange peels to produce biofuel, food additives, and essential oils. The simulation was run in Aspen Plus v12.1 and scaled using a rigorous economic analysis model. The study proves that biorefinery processes can transform the orange juice industry's organic waste...
This article aims to study the implementation of classical proportional‐integrative (PI) controllers and their coupling with the fuzzy inference systems (FISs) in the act of closed‐circuit grinding (CCG) ball mill system. The system was formed for a multiple‐input multiple‐output (MIMO) system, with two inputs, the feed rate ( W F ) and speed class...
This work aims to define the influence of different parameters (such as ethanol concentration, type (regular or homologation fuel), and formulation (olefin and aromatic contents) of gasoline, temperature, and aging duration) in gum formation in Brazilian ethanol–gasoline blends. As a result, a database with more than 500 cases was built gathering e...
Closed circuit dry grinding using ball mills is essential in mineral processing industries. This process is characterized by significant dead times, highly coupled variables, limitations by operating ranges and complex modeling, making it difficult for classical controls to obtain fast responses with low overshoot. An alternative to overcome these...
The pharmaceutical industry has used technological resources to make its processes innovative and competitive. It is observed that machine learning is currently the largest investment area in this sector. Data mining and artificial intelligence techniques such as artificial neural networks and support vector machines are some that have been applied...
Biosurfactants are molecules with wide application in several industrial processes. Their production is damaged due to inefficient bioprocessing and expensive substrates. The latest developments of strategies to improve and economize the biosurfactant production process use alternative substrates, optimization techniques, and different scales. This...
Modelling a process or equipment is a profitable strategy to build better control strategies, predict fault conditions, and optimize the processes. Different approaches could be explored to achieve the development of better models. This paper investigates the use of experimental data generated by a central composite rotatable design (CCRD) to devel...
In this present work, polynomial and artificial neural networks models, adjusted by particle swarm optimization, were implemented in an attempt to improve process modelling and to achieve reliable reaction representation behaviour. Parameter optimization of the conversion reaction of ferrous to ferric sulphate in concentrated solutions using hydrog...
The work in hand proposes Artificial Neural Networks (ANN) to predict the residual strength of fiber reinforced concrete under bending load. A database containing experimental and synthetic data was constructed with 400 datasets, providing the following input data: fiber aspect ratio, matrix compressive strength, and steel fiber volumetric fraction...
Mineral processing facilities concern an enormous amount of dynamically complex unit operations (due to nonlinearities), for instance ball mill system. Normally, these processes need multivariable controllers to smooth actions by designing for plant constraints such as deadtimes and dynamics interactions. The present work presents a comparison betw...
Biogas can be generated from many types of biomass residues. These biomasses have different characteristics which makes standardization of process conditions difficult. Thus, the influence of different conditions has been explored for several biogas production scenarios using numerical models. In the present work, an experimental study of biogas pr...
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 concentration, oil concentration, and distance between the electrodes. The results showed that the pr...
Titanium dioxide is widely employed in photocatalysis reactions. Despite its variety of applications, it is still a challenge to modify it to work under visible light. Strategies have been investigated to increase the photocatalytic performance of TiO2. Usually, the aspects discussed are the ratio of crystalline phases, the crystal size, and the ba...
Motivated by the oxidative power of hydrogen peroxide and its environmentally attractive properties, the present study aimed to determine the optimum conditions for the production of ferric sulfate coagulant from ferrous sulfate The independent variables studied were the temperature (7.5–27.5 °C), amount of hydrogen peroxide (100–300 %) of the stoi...
Polystyrene is a polymer with a large range application since packing, civil construction and toys industries. But their production with high quality is complex due to variations of the energy release, conversion and molecular weights. Computational modeling and simulation have been indicated as fundamental tools to study and/or design experiments...
Due to the increasing environmental concerns, different issues related to green chemistry and waste management are being discussed and studied. In the polymerization industry, most of the products are still petroleum derived. In this context, alternative sources of monomers have been investigated. Cashew nut shell liquid (CNSL) is a by-product of c...
In the chemical industry it is important to have controlled process in order to guarantee the quality and repeatability of the final product. The use of sensors in the industrial plant allows a large volume of data to be captured regarding the process. These collected data can be used in the construction of models capable of predicting the characte...
Membrane separation processes have been applied in the most diverse sectors of the chemical industry and have stood out as promising alternatives to the classical processes of separation due to the advantages related to energy consumption, specificity and scale-up ease. One of the greatest challenges in the area of membrane synthesis and characteri...
A quarta revolução industrial tem se mostrado cada vez mais evidente na última década e é caracterizada por seis princípios: orientação de serviço, capacidade em tempo real, modularidade, descentralização, virtualização e interoperabilidade. Entretanto, estes conceitos ainda se mostram nascentes na indústria brasileira e, por isso, é de interesse a...
Mineral flotation using microorganisms and/or their derived products is called “bioflotation.” This is a promising process due to its low environmental impact; however, it is also a very complicated process, due to its multidisciplinary character, involving mineralogy, chemistry, and biology. So, the optimization of this process is an important cha...
The use of the biodigestion is considered promising for the energetic valorization of agriculture biomass such as swine farm sewage and lignocelulosic residues. The understanding of biodigesters operation and the control of their main operational variables are of great importance to improve the performance of anaerobic digestion process in order to...
Long-life packages are composed by two main materials: paper and low-density polyethylene (LDPE) with aluminium composite. Usually, the packages are disposed in landfills, generating an environmental impact due to its increasing consume. Recycling could be a solution if the recycled and raw materials used in the production have the same properties,...
Excess boron in drinking and irrigation water is a serious environmental and health problem because it can be toxic to many crops and lead to various diseases in humans and animals upon long-term consumption. In this work, the removal of boron from aqueous solutions was achieved by electrocoagulation using aluminium as the anode and cathode. The op...
This work investigated the combination of agitation and aeration conditions in a bench-bioreactor to identify the optimal biosurfactant production from substrate based on beet peel and glycerol from a biodiesel process. Thus, a central composite rotatable design (CCRD) and responses were evaluated by response surface methodology (RSM) modeling. The...
Este trabalho tem por objetivo avaliar a implementação de controladores feedback em um circuito moagem a seco. A simulação do sistema foi feita no Simulink do MATLAB a partir de uma planta experimental, contemplando controladores multivariáveis para granulometria do passante em 45µm (P45) do produto e da massa contida no moinho - hold up (HU). Para...
In recent decades there has been a growing need to develop efficient processes in economic and energetic
terms for the sustainable production of fuels and chemical products. In this context, it is important to
understand the thermal degradation behaviour of different biomass in an inert atmosphere to investigate the
breakdown of polymer chains into...
Biosurfactants are produced through metabolism of microorganisms (bacteria, yeast and fungi) and many applications are attributed to them. Biomass concentration is an important variable in biosurfactant production process, because is related to substrate consumption and production rate. This variable is collected by sampling and determined by off-l...
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 assessed experimentally: temperature (25-45 °C) and hydrogen peroxide concentration (1.5-7.5%(w/v))....
The relevance of Biotechnology applied to mineral processing has been increasing during the last decade. Initially, microorganisms as bacteria and yeast were used as collectors due to their hydrophobic properties. However, the complexity of their cell wall makes the understanding of the adsorption mechanisms involved during the microbial cell-miner...
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. A copper tubing ½ in diameter and 53 m in length was assembled in laboratory, operating with continuous supply of compressed air, under various operating conditions with initial pressure of...
Although various kinds of kinetic models were proposed to describe the dynamic behaviour of biologically reacting systems, very little studies have been carried about biosurfactant formation. Its sustainable production, in renewable culture medium, is even more complex. In this sense, emerges the Genetic Algorithm (GA), an effective stochastic glob...
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 conditions varied from 35 – 100°C to temperature, 75 – 300 bar to pressure and 0 – 100% to ethanol cont...
This work proposes a mathematical model based on neural networkscapable of predicting biomassconcentrationin a fermentative process of biosurfactant production byBacillus subtilis. Theneural network architecture was adjusted from parameters combination such asnumber ofhiddenlayers, number of neurons of eachhiddenlayer, activation functionsand algor...
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 25-45°C for temperature and from 1.5-7.5% (v/v) for H2O2 concentrations. Analytical results for the delignification were...
This study aims to identify the optimal biosurfactant production process via fermentation by Bacillus subtilis, using waste material as alternative substrates (glycerin, water from potatoes processing, corn steep liquor, and frying oil), thereby highlighting the absence of synthetic substrates. A fractional factorial design 24−1 was previously used...
Recently, the biosurfactant production has been growing up, because this substance has amphiphilic nature with high emulsifying and surface interaction. They are produced through metabolism of microorganisms and many applications are mentioned in industry (chemical, food, pharmaceutical etc.). However, the production is compromised by the use of ex...
Batch reactors are widely used in the polymer industry, especially for multi-purpose processes where different types of polymers are produced on demand. Batch polymerization reactors impose rather great operational difficulties due to the complex reaction kinetics and inherent process nonlinearities. Thus it is a difficult task to develop mathemati...
The batch styrene polymerization process presents transient and nonlinear temperature behavior. In this work, manual control and open loop experiments were carried out in order to build a process knowledge database. Initially, a cascade feedback control loop was implemented by manipulating the thyristor unit of the electrical heater in the thermal...
The main feature of the polymerization reaction is its complex nonlinear behaviour, which poses a challenging control system design for the batch reactor. The present work is concerned with the development of intelligent mathematical models to predict the styrene polymerization temperature. In order to improve the final product quality, these model...
