Navegando por Autor "Melo, Evandro de Castro"
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Item Aeration simulation of stored grain under variable air ambient conditions.(2006) Lopes, Daniela de Carvalho; Martins, José Helvecio; Melo, Evandro de Castro; Monteiro, Paulo Marcos de BarrosA simulation model for stored grain aeration was implemented and compared with experimental data. The software, called AERO, is capable of simulating the aeration process in stored grain, with hot spots, using time variant ambient data. Some modifications to the original model proposed by Thorpe [Thorpe, G.R., 1997. Modelling ecosystems in ventilated conical bottomed farm grain silos. Ecol. Modell. 94, 255–286] have been presented. The modified model is simpler, less computer-intensive and maintains the accuracy of the results. Comparing the model with data collected between January and August 2005, it was observed that the simulation results agreed well with real conditions, indicating that this software can reliably predict the aeration process for different world regions.Item Aeration strategy for controlling grain storage based on simulation and on real data acquisition.(2008) Lopes, Daniela de Carvalho; Martins, José Helvecio; Lacerda Filho, Adílio Flauzino; Melo, Evandro de Castro; Monteiro, Paulo Marcos de Barros; Queiroz, Daniel Marçal deIn this work a new control strategy for grain aeration systems was proposed. This strategy was implemented in a software package called AERO and relates four conditions which depend on real time data acquisition and on the process simulation. The main advantage of AERO controller is that it can be used in different geographic regions, during different seasons and with different aeration systems, automatically adjusting its set points. The objectives of AEROcontroller are to equalize the temperatures inside the bin, to cool the grain mass whenever is possible and to maintain the moisture content under safe conditions. The results showed that the proposed strategy is efficient to achieve these objectives. Moreover, significant energy saving has been achieved with the AERO controller.Item Determination of the influence of the variation of reducing and non-reducing sugars on coffee quality with use of artificial neural network.(2012) Messias, José A. T.; Melo, Evandro de Castro; Lacerda Filho, Adílio Flauzino; Braga, José Luís; Cecon, Paulo RobertoEste trabalho teve como objetivo avaliar a utilização de Rede Neural Artificial para correlacionar os valores resultantes de análises químicas de amostras de café com os valores de sua análise sensorial. As amostras de café utilizadas foram referentes ao café Coffea arabica L., cultivar Acaiá do Cerrado, Topázio, Acaiá 474-19 e Bourbon, coletados na região sul de Minas Gerais. As análises químicas foram de açúcar não redutor e açúcar redutor, sendo a qualidade da bebida avaliada pela análise sensorial. O método de Rede Neural Artificial utilizou os valores das análises químicas como variáveis de entrada e os valores da análise sensorial como valores de saída. A regressão linear múltipla dos valores de análise sensorial, em função dos valores das análises químicas, teve coeficiente de determinação de 0,3106, enquanto o método de Rede Neural Artificial empregado obteve um nível de acerto na classificação dos valores da análise sensorial de 80,00%.Item Management of stored maize by AERO controller in five Brazilian locations : a simulation study.(2008) Lopes, Daniela de Carvalho; Martins, José Helvecio; Steidle Neto, Antônio José; Lacerda Filho, Adílio Flauzino; Melo, Evandro de Castro; Monteiro, Paulo Marcos de BarrosA simulation model was used to quantify the effect of the AERO controller on dry matter loss, moisture content, grain temperature and required aeration time for five Brazilian States during one year. The application focused on maize because it is the dominant crop in the regions studied, but the analyses can be applied to other grains and locations as well. Decision making of the AERO controller is based on simulation of the aeration process and on real time data acquisition. It proved to be an effective strategy and showed its significant potential as a non-chemical preventative practice for safe storage.