Nombre: CARLOS HENRIQUE THOMAZINI CORDEIRO
Tipo: MSc dissertation
Fecha de publicación: 27/03/2018
Supervisor:

Nombreorden descendente Rol
ANA PAULA MENEGUELO Advisor *

Junta de examinadores:

Nombreorden descendente Rol
ANA PAULA MENEGUELO Advisor *
DANIEL DA CUNHA RIBEIRO Internal Alternate *
LEONARDO DA SILVA ARRIECHE External Alternate *
MARIA DE FATIMA PEREIRA DOS SANTOS Internal Examiner *
REJANE DE CASTRO SANTANA Co advisor *

Páginas

Resumen: Emulsions are dispersed systems composed of at least two immiscible liquid phases and an emulsifying agent capable of promoting their stabilization. The formation of emulsions during the production of oil is inevitable, and the process of destabilization or breakage presents major challenges to meet various specifications in the industry. The study and understanding of emulsion-forming mechanisms, as well as their characterization and correlation between their properties, are of great importance for the industry. The study analyzed typical oil industry model emulsions prepared with synthetic oil (liquid petroleum jelly) and water in order to characterize them experimentally and perform a statistical modeling. A 2k factorial design was performed, varying the water concentration, Span 80 concentration and rotation used in the emulsification process, and evaluating the variables responses type drop (water in oil or oil in water), droplet size, electrical conductivity and dynamic viscosity. In the analysis it was possible to observe the influence of the variable factors on the response variables. It was found that the viscosity is inversely proportional to the conductivity, the more percentage of water the greater the conductivity and the lower the viscosity, WHERE the curve of both intersect the phase inversion region is identified, WHERE the emulsion passes from the O/A type to A/O. Statistical modeling showed that rotation is the variable that most influences droplet size, and the percentage of water has the most negative influence on viscosity and positively on conductivity.
Keywords: Emulsion, experimental study, statistic model.

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