4 resultados para Espèces fragiles

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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In this work, the behavior of the steel surface grinding process with conventional grinding wheels was studied for various grinding conditions and a fixed dressing condition. The input parameters (wheel speed, workpiece speed, depth of cut), that set up the grinding conditions were determined as a function of the characteristics of the grinding machine. A test bench was established where the grinding power was measured in real time as a function of the volume of material removed. The results showed that in the grinding of fragile steels with a soft wheel and medium grit size, the average power of the cut shows a tendency to increase and become stabilized. The surface roughness of the piece decreased in all the tests and was proportional to the increase in the number of active grits. In tests on the grinding of ductile steels with a soft wheel and fine grit size, the wheel became dull until the moment that the abrasive grits were released from the cut surface.

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Pós-graduação em Química - IQ

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A time-and-motion study in wood processing of the Eucalyptus harvester's operational cycle was developed. The objective was to evaluate wood harvesters working under several site conditions. The research includes two kinds of harvesters while processing wood to supply paper and cellulose factories, as follows: a machine with twin tires and other one with large tracks, both connected to a different head harvester models. The forestry species were Eucalyptus saligna Smith and Eucalyptus grandis Hill ex Maiden, seven and eight years old, in slope terrains ranging from 0% to 10% degrees, under harvesting systems used by Votorantim and Suzano forestry companies, in São Paulo State, Brazi. Considering all field research, results disclosed that, for some conditions, both machines have shown mathematical correlation between some mechanical wood operation within the processing operational cycle and the saw logs production. All the mathematical correlations were found to express logarithmical models.