Publicações - engenharias
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José João de Espíndola;
PRADO, BRUNO FERRARI DE ALMEIDA;
SMARZARO, VINICIUS CONSOLIN;
José João de Espíndola
Palavra-chave:
Compound systems;
Dynamic Characterization;
Energy Harvesting;
Identification;
Nonlinear Optimization
Áreas do conhecimento:
Engenharias; Mecânica dos Sólidos; Dinâmica dos Corpos Rígidos, Elásticos e Plásticos
resumo ...
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FREITAS JÚNIOR, FREDERICO LUIZ DE;
PEREIRA, MARIANA DE SOUZA;
Cristovão Vicente Scapulatempo Fernandes;
FAN, FERNANDO MAINARDI;
COSTA, REGINALDO BRITO DA;
MAGALHÃES FILHO, FERNANDO JORGE CORREA
Palavra-chave:
Water soil and conservation;
Principal Component Analysis
Áreas do conhecimento:
Engenharias; Engenharia Sanitária; Recursos Hídricos; Planejamento Integrado dos Recursos Hídricos
resumo ...
ABSTRACT For the efficient management of water and soil conservation, quality and quantity...
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ALMEIDA, CAMILA DE CARVALHO;
PEIXOTO, LUIS OTÁVIO MIRANDA;
SIECIECHOWICZ, MARIANNE SCHAEFER FRANÇA;
Cristovão Vicente Scapulatempo Fernandes;
AZEVEDO, JÚLIO CESAR RODRIGUES DE;
CENTENO, JORGE ANTONIO SILVA
Palavra-chave:
Principal Component Analysis;
Water Resources Management
Áreas do conhecimento:
Engenharias; Engenharia Sanitária; Recursos Hídricos; Planejamento Integrado dos Recursos Hídricos
resumo ...
ABSTRACT Changes in water quality are a consequence of water and land use dynamics. Measuring...
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GONÇALVES JR, SÉRGIO J.;
SAMPAIO, MARCELO;
Simões, Jefferson C.;
XIMENES DE OLIVEIRA, BRUNO VINÍCIUS;
Carlos Itsuo Yamamoto;
LASKIN, ALEXANDER;
GILLES, MARY K.;
Ricardo Henrique Moreton Godoi;
EVANGELISTA, HEITOR;
WEIS, JOHANNES;
HARDER, TRISTAN H.;
CHINA, SWARUP;
MÜLLER, SIMON;
MARQUES, MAGDALENA M.;
MAGALHÃES NETO, NEWTON DE;
PASSOS, HEBER R.
Palavra-chave:
ozone depletion;
Antarctic region;
Aerosols
Áreas do conhecimento:
Engenharias; Engenharia Química; Ambiental
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JESUS, JOSE;
Cristovão Vicente Scapulatempo Fernandes
Palavra-chave:
topologia
Áreas do conhecimento:
Engenharias; Engenharia Sanitária; Recursos Hídricos; Planejamento Integrado dos Recursos Hídricos
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SCHIBICHESKI KURELO, BRUNA C. E.;
G. B. de Souza;
DA SILVA, SILVIO LUIZ RUTZ;
Carlos Maurício Lepienski;
Clodomiro Alves Júnior;
CHUPROSKI, RAFAEL FILLUS;
PINTAUDE, GIUSEPPE
resumo ...
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LEITHOLD, JULIANA;
Cristovão Vicente Scapulatempo Fernandes;
RODRIGUES DE AZEVEDO, JÚLIO CESAR;
Eloy Kaviski
Palavra-chave:
Diffuse Pollution;
organic matter
Áreas do conhecimento:
Engenharias; Engenharia Sanitária; Recursos Hídricos; Planejamento Integrado dos Recursos Hídricos
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The strategy of considering a model that is comparable to the Soil Conservation Service Curve–Number (SCS-CN) method that employs land use maps to estimate the effects of land use on the water quality has considerable potential for application. This paper presents the LUPC (Land Use Pollutant Contribution) Model to estimate water pollution from the watershed land use obtained by satellite image classification (Sentinel-2). It defines that each land use produces a specific pollutant load per unit area, called Pollutant Standard Index (PSI), which undergoes degradation and/or retention until it reaches the river. This decay estimate is based on a Kernel Function. Organic matter (OM) was the pollutant chosen for the definition of the LUPC model and fractions of labile and refractory organic matter (LOM, ROM). The model was applied to the Barigüi River basin, and five samples were collected at 12 points along the river. Water quality parameters such as dissolved organic carbon (DOC) and UV–Visible absorbance in addition to chemical and biological oxygen demand (COD and BOD), dissolved oxygen (DO), and nitrogen and phosphorus fractions were the reference for modeling purposes. The results indicate that organic loads can be estimated from watershed characteristics, despite influence from seasonal influences captured by the PSI values and the basin shape parameter. Considering its versatile response, the LUPC model can be used for integrated water resources and land use planning and management and be indicator of the potential pollution of rivers by OM.
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DA COSTA, DALBERTO DIAS;
GUSSOLI, MAURICIO;
Pablo Deivid Valle;
REBEYKA, CLAUDIMIR JOSÉ
Palavra-chave:
energy efficiency;
Energy consumption;
machining;
Conventional lathes
Áreas do conhecimento:
Engenharias; SIMULAÇÃO E INTEGRAÇÃO DE PROCESSOS
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Conventional machine tools are still widely used for a large group of small machining companies, mainly in countries with emerging economies. There is a wide variety of high-efficiency electric motors for machine tools in machining; however, most conventional machine tools are driven by three-phase squirrel-cage induction motors (SCIM). This type of machines in small companies deserves a systematic study on energy efficiency. Therefore, the main purpose of this work is to propose a methodology to assess the energy efficiency of conventional lathes with three-phase squirrel-cage induction motors. A case study was conducted with the proposed methodology that demonstrated that the energy efficiency can be depicted by constructing characteristic curves for each machine tool. The control of depth of cut (ap) is a sufficient condition for the construction of the characteristic curves of a conventional lathe. As a result, it was concluded that at the shop floor environment, the final user could install a digital wattmeter to read the electric power and analyze, from the characteristic curves, whether the machining operation is running on an efficient mode. The machine tool manufacturer can also incorporate a wattmeter into conventional lathes with squirrel-cage induction motors to measure and report the efficiency status during the machining operation.
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BLASI, THAÍS M.;
DE AQUINO, CYNTIA C. C. B.;
PINTO, RAFAEL S.;
DE LARA FILHO, MAURO O.;
Thelma Solange Piazza Fernandes;
VILA, CLODOMIRO U.;
Alexandre Rasi Aoki;
DOS SANTOS, RODRIGO B.;
TABARRO, FABRICIO H.
Palavra-chave:
Redes Ativas de Distribuição;
Microrredes
Áreas do conhecimento:
Engenharias; Engenharia Elétrica; Sistemas Elétricos de Potência; Operação de Sistemas Elétricos de Potência
resumo ...
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Alexandre Ferreira Santos;
AGUADO, ROBERTO;
CORAZZA, MARCOS L.;
TARRÉS, QUIM;
SANCHEZ-SALVADOR, JOSE-LUIS;
BLANCO, ANGELES;
NEGRO, CARLOS;
DELGADO-AGUILAR, MARC
Palavra-chave:
Inteligência Artificial;
Monitoramento de Processos;
nanocelulose
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 a wide sample analysis, under similar conditions, has been carried out and a calibration strategy based on a careful selection of input variables combined with sensitivity analysis has enabled us to build accurate neural network models, with high correlation (R > 0.99), for the prediction of the aspect ratio of micro/nanofiber products. The model is based on cellulose content, applied energy, fiber length and diameter of the pre-treated pulps. The number of samples used to generate the neural network model was relatively low, consisting of just 15 samples coming from pine pulps that had undergone thermomechanical, kraft and bleached kraft treatments to produce a significant range of aspect ratio. However, the ANN model, involving 4 inputs and 4 hidden neurons and calibrated on the basis of pine dataset, was accurate and robust enough to predict the aspect ratio of micro/nanofiber materials obtained from other cellulose sources including very different softwood and hardwood species such as Spruce, Eucalyptus and Aspen (R = 0.84). The neural network model was able to capture the nonlinearities involved in the data providing insight about the profile of the aspect ratio achieved with further homogenization during the fibrillation process.
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