Publicações - engenharias


Cleibson Aparecido Almeida; João Cardoso Neto; Robson Seleme; Elaine Cristina da Silva Schilipack; Vanessa Terezinha Alves
RACE : Revista de Administração, Contabilidade e Economia, v. 12, n. 1, p. 199-225, 2013
Palavra-chave: Logística; China; Portos; simulação
Áreas do conhecimento: Engenharias; Engenharia Elétrica; Telecomunicações
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José Coriolano L. Ribas; Elizete Maria Lourenço; Jean Vianei Leite; Nelson Jhoe Batistela
IEEE Transactions on Magnetics, v. 49, p. 1797-1800, 2013 DOI
Palavra-chave: Ferrorressonância; Histerese; Modelo Jiles-Atherton; Susbetacoes de Energia
Áreas do conhecimento: Engenharias; Circuitos Elétricos, Magnéticos e Eletrônicos; Engenharias; Engenharia Elétrica; Sistemas Elétricos de Potência; Geração da Energia Elétrica
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The ferroresonance phenomena in electrical power systems can cause very important quality and security problems. Although it has been extensively analyzed with different approaches since the birth of electrical systems, it still remains a challenge due the complexity of factors that can lead to the phenomenon. In this paper, a scalar Jiles-Atherton (JA) hysteresis model is applied to model a nonlinear ferromagnetic core allowing to analyze magnetic circuits, which can be in ferroresonant mode. It is used an inverse JA approach, which had originally the magnetic induction as its independent variable. The analysis here proposed applies a flux-current methodology to obtain a hysteresis behavior of a nonlinear inductor.
Leonardo Dallegrave Afonso; Viviana Cocco Mariani; LEANDRO DOS SANTOS COELHO
Expert Systems with Applications, v. 40(9), n. 9, p. 3794-3802, 2013 DOI
Palavra-chave: engenharia de confiabilidade; otimização
Áreas do conhecimento: Engenharias; Pesquisa Operacional; Programação Linear, Não-Linear, Mista e Dinâmica; Engenharias; Engenharia Elétrica; Otimização de Sistemas
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BRUSAMARELLO, CLAITON Z.; SANTOS, LEILA M.; AMARAL, MONIQUE; BARRA, GUILHERME M. O.; Montserrat Fortuny; Alexandre Ferreira Santos; DE ARAÚJO, PEDRO HENRIQUE HERMES; Claudia Sayer
Macromolecular Symposia, v. 333, n. 1, p. 113-121, 2013 DOI
Palavra-chave: polipirrol; Condutivimetria; Inteligência Artificial; Redes Neurais; Monitoramento de Processos
Áreas do conhecimento: Engenharias; Operações Industriais e Equipamentos para Engenharia Química; Engenharias; Engenharia Química; Processos Industriais de Engenharia Química; Processos Biotecnológicos
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In this work, the chemical oxidative synthesis of polypyrrole was monitored through on‐line conductivimetry. A group of reactions was carried out at two different temperatures (5 °C and 20 °C) with ...
LEANDRO DOS SANTOS COELHO; Guerra, Fábio A.; Nelson Jhoe Batistela; Jean Vianei Leite
IEEE Transactions on Magnetics, v. 49, p. 1745-1748, 2013 DOI
Palavra-chave: algoritmo de cucos; otimização; Histerese
Áreas do conhecimento: Engenharias; Engenharia Elétrica; Inteligência Artificial; Inteligência Computacional; Engenharias; Engenharia Elétrica; Circuitos Elétricos, Magnéticos e Eletrônicos; Circuitos Magnéticos , Magnetismos e Eletromagnetismos
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The parameter identification of hysteresis models is a fundamental task for correct hysteretic material simulation. In vector models, as the Jiles-Atherton (J-A) vector model, the parameter determination increases in complexity since one must solve a nonlinear system with a relative large number of variables. In these cases, fitting methods one of the most attractive solution. In this study, an improved multiobjective cuckoo search (IMCS) is introduced for the J-A parameters determination. The proposed IMCS based on the Duffing's oscillator to step size tuning is verified using data from a rotational single sheet tester in two-dimensional version. Numerical comparisons of IMCS with results using a multiobjective cuckoo search demonstrated that the performance of the IMCS is promising in parameters estimation. Furthermore, the proposed IMCS method can be easily extended to solve a wide range of multiobjective optimization problems.
Marsil de Athayde Costa e Silva; Carlos Klein; Viviana Cocco Mariani; LEANDRO DOS SANTOS COELHO
Energy (Oxford), n. 1, p. 14-21, 2013 DOI Home page
Palavra-chave: despacho econômico de energia elétrica; otimização com múltiplos objetivos; scatter search
Áreas do conhecimento: Engenharias; Sistemas Elétricos de Potência; Transmissão da Energia Elétrica, Distribuição da Energia Elétrica; Engenharias; Engenharia Elétrica; Inteligência Artificial; Inteligência Computacional
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The environmental/economic dispatch (EED) is an important daily optimization task in the operation of many power systems. It involves the simultaneous…
Marsil de Athayde Costa e Silva; Marsil de Athayde Costa e Silva; KLEIN, CARLOS EDUARDO; Viviana Cocco Mariani; LEANDRO DOS SANTOS COELHO
Energy (Oxford), v. 53, n. 1, p. 14 2013 DOI
Palavra-chave: Environmental/economic dispatch; Evolutionary algorithms; scatter search
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Reinaldo, P. R.; Ana Sofia Climaco Monteiro D'Oliveira
Journal of Materials Engineering and Performance (Print), v. 22, p. 590-597, 2013 DOI
Palavra-chave: coatings; Hardfacing; Ni alloys; PTA
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Colmonoy 6 (NiCrSiB) is a Ni-based alloy recognized for its superior mechanical properties, attributed to the presence of a dispersion of hard carbides and borides, which is strongly dependent on processing technique. This work gathered microstructure data from the literature and analyzed Colmonoy 6 coatings deposited by plasma transferred arc hardfacing. The aim of the study was to determine the influence of PTA deposition parameters and substrate chemical composition on NiCrSiB coating characteristics. Coatings were characterized in terms of their hardness, dilution, and microstructure, as well as mass loss during abrasive sliding wear tests. The results showed that coating performance is strongly dependent on the chemical composition of the substrate. Carbon steel substrate yielded coatings with greater wear resistance. Processing parameters also alter the performance of coatings, and the lower current and lower travel speed result in reduced mass loss.
Paulo Henrique Trombetta Zannin; Vitor André Jastale Pinto; David Queiroz de Sant´Ana; Vinícius Luiz da Gama; Maurício Laçoni da Cunha; Eduardo Ferraz Damiani; Marcello Benetti; Henrique Bianchi; André Luiz Senko da Hora; Guilherme Bortolaz Guedes; Tiago Luiz Portella
Canadian Acoustics, v. 41, n. 1, p. 27-34, 2013
Áreas do conhecimento: Engenharias; Engenharia Mecânica; ACÚSTICA AMBIENTAL
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LEANDRO DOS SANTOS COELHO; Viviana Cocco Mariani; Mauricio Valencia Ferreira da Luz; Jean Vianei Leite
IEEE Transactions on Magnetics, v. 49, p. 2121-2124, 2013 DOI
Palavra-chave: evolução diferencial; otimização com múltiplos objetivos; transformador
Áreas do conhecimento: Engenharias; Sistemas Elétricos de Potência; Máquinas Elétricas e Dispositivos de Potência; Engenharias; Engenharia Elétrica; Inteligência Artificial; Inteligência Computacional
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The differential evolution (DE) algorithm is a simple but powerful population-based stochastic search technique for solving global optimization problems. DE consists of three main operations: mutation, crossover and selection. The advantages of DE are simple structure, ease of use, speed and robustness. However, to achieve optimal performance with DE, time consuming parameter tuning is essential as its performance is sensitive to the choice of the mutation and crossover values. In this paper, a novel DE algorithm (NDE) based on truncated gamma probability distribution function is proposed for solving multiobjective optimization problems as the design of transformers. Simulations of transformer design optimization (TDO) demonstrate the effectiveness of the proposed optimization algorithm. The simulation results show that, compared with other multiobjective DE algorithm, the proposed NDE is able to find better spread of solutions with better convergence to the Pareto front and preserve the diversity of Pareto solutions more efficiently.
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