931 resultados para Fibra de sisal


Relevância:

10.00% 10.00%

Publicador:

Resumo:

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pós-graduação em Agronomia (Produção Vegetal) - FCAV

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pós-graduação em Agronomia (Produção Vegetal) - FCAV

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pós-graduação em Agronomia (Produção Vegetal) - FCAV

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pós-graduação em Zootecnia - FCAV

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Seeking alternatives for the total or partial substitution of synthetic fibers for natural fibers, with reinforcement in polymeric materials, this work was conducted with the objective of evaluating the treatment with corona discharge on the adherence of juta fibers with resin. The fibers were exposed to corona discharge for 1, 5, 10 and 15 minutes, as well as after treatment with hot water, molding composites fiber-reinforced with filaments treated for 10 and 15 minutes, and without the treatment. The chemical structures were evaluated by spectrometry in the region of Fourier transform infrared with attenuated total reflection (FTIR/ATR), observing the formation of a new band and the increase in the absorption of groupings with oxygen. The thermal analyses, such as thermogravimetry (TG) and differential scanning calorimetry (DSC) revealed the degradation of cellulose, hemicellulose and lignin. The microstructural characterization by scanning electron microscopy (SEM) showed changes in the surface of the fiber, such as roughness, superficial depressions, surface degradation and cavity formation. The adhesion of the fibers was evaluated by the pullout test, allowing us to verify the increase in adhesion strength after treatment with corona discharge. In conclusion, the treatment with corona discharge changes the surface of the juta fibers, resulting in better adherence with the resin.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

In the composition of this work are present two parts. The first part contains the theory used. The second part contains the two articles. The first article examines two models of the class of generalized linear models for analyzing a mixture experiment, which studied the effect of different diets consist of fat, carbohydrate, and fiber on tumor expression in mammary glands of female rats, given by the ratio mice that had tumor expression in a particular diet. Mixture experiments are characterized by having the effect of collinearity and smaller sample size. In this sense, assuming normality for the answer to be maximized or minimized may be inadequate. Given this fact, the main characteristics of logistic regression and simplex models are addressed. The models were compared by the criteria of selection of models AIC, BIC and ICOMP, simulated envelope charts for residuals of adjusted models, odds ratios graphics and their respective confidence intervals for each mixture component. It was concluded that first article that the simplex regression model showed better quality of fit and narrowest confidence intervals for odds ratio. The second article presents the model Boosted Simplex Regression, the boosting version of the simplex regression model, as an alternative to increase the precision of confidence intervals for the odds ratio for each mixture component. For this, we used the Monte Carlo method for the construction of confidence intervals. Moreover, it is presented in an innovative way the envelope simulated chart for residuals of the adjusted model via boosting algorithm. It was concluded that the Boosted Simplex Regression model was adjusted successfully and confidence intervals for the odds ratio were accurate and lightly more precise than the its maximum likelihood version.