134 resultados para pescarias marinhas industriais tropicais
Resumo:
Pós-graduação em Engenharia de Produção - FEB
Resumo:
Pós-graduação em Engenharia de Produção - FEB
Resumo:
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Resumo:
Pós-graduação em Agronomia - FEIS
Resumo:
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Resumo:
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Resumo:
The aim of this study was to analyze the behavior of the flow of heat (temperature) through the thickness of panels LVL (Laminated veneer lumber) produced with phenol formaldehyde adhesive, in laboratorial and industrial scales. Experimental program was conducted with five LVL panels (three produced in laboratorial scale and two in industrial scale) with different arrangements of a mix of commercial veneers from tropical pinus from the south region of Sao Paulo State, Brazil, bonded using phenol formaldehyde adhesive. The temperature inside the panels during the pressing process was evaluated using thermocouples type T (cooper-constantan), installed mostly in the center of the glue lines and connected to a data acquisition system. The graphics of temperature as a function of the time showed a gradual increase of temperature up to pre-set values, remaining constant from them. The temperature reached at the center of the panels was adequate to promote the curing of the adhesive. These pre-set values were similar to the minimum values presented by other authors and manufacturers of these adhesives that affirm that temperatures above 100ºC at the center of laminated panels bonded with phenolic adhesives are sufficient to ensure proper cure of the resin. The time necessary for curing of the adhesives confirmed the validity of practical expressions provided by adhesive manufacturers.
Resumo:
The application of industrial and municipal waste in the soil may be recommended by your corrective and fertilizer value, giving the great potential for agricultural reuse, improves physical, chemical and biological soil properties and helps to reduce the consumption of fertilizers and correctives, without contamination by heavy metals. This study aimed to evaluate the absorption of nutrients and potentially toxic elements, and their effect on the development of soybean (Glycine max (L.) Merrill) grown under No-Tillage system (NT). The work was developed in the field, at the Experimental Farm Lageado - FCA / UNESP, Botucatu (SP) in an Oxisol under tropical climate of altitude. The experimental design was randomized blocks, factorial 4x4+1, with four replications. The treatments consisted of four residues: two sewage sludge, one centrifuged and treated with quicklime (LC) and a biodigester (LB) and two industrial wastes: steel slag (E) and lime mud (Lcal) , applied in dosages of 0, 2, 4 and 8 Mg ha-1. The surface application of LC, LB, Lcal and E residues in soil under NT favored the development of soybean, with no heavy metal contamination, given the current legislation.
Resumo:
Pós-graduação em Agronomia - FEIS
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Resumo:
Nowadays the companies generate great amount of data from different sources, however some of them produce more data than they can analyze. Big Data is a set of data that grows very fast, collected several times during a short period of time. This work focus on the importance of the correct management of Big Data in an industrial plant. Through a case study based on a company that belongs to the pulp and paper area, the problems resolutions are going to be presented with the usage of appropriate data management. In the final chapters, the results achieved by the company are discussed, showing how the correct choice of data to be monitored and analyzed brought benefits to the company, also best practices will be recommended for the Big Data management