Modelagem da tensão superficial de misturas de hidrocarbonetos

• Ano de defesa: 2007
• Autor(a) principal: Bezerra, Elizabeth Salviano
• Orientador(a): Paredes, Marcio Luis Lyra
• Banca de defesa: Rajagopal, Krishnaswamy , Formiga, André Luiz Barboza , Reis, Rodrigo Azevedo dos
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade do Estado do Rio de Janeiro
• Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia Química
• Departamento: Centro de Tecnologia e Ciências::Instituto de Química
• País: BR
• Palavras-chave em Português: tensão superficial; modelagem; misturas; hidrocarbonetos; caracterização
• Palavras-chave em Inglês: surface tension; modeling; mixtures; hydrocarbons; characterization
• Área do conhecimento CNPq: CNPQ::ENGENHARIAS::ENGENHARIA QUIMICA
• Link de acesso: http://www.bdtd.uerj.br/handle/1/11942

This dissertation presents a new model created for the prediction of the value of the surface tension of hydrocarbons mixtures. It can be used in a predictive or correlative way. This model was based on the predictive model for ideal solutions of Hildebrand-Scott (1950) and on the correlative model of Jouyban-Acree (2004). Other mixing rules had been evaluated and compared with the proposed model, including classic approaches like Sprow and Prausnitz, parachor, and corresponding states. There was evaluated the performance of the chosen models in the prediction and the correlation of the surface tension of hydrocarbons mixtures at different temperatures that contained different asymmetries in the mixture, as in chemical nature (e.g., parafinics, naftenics and aromatics) as well as in chain size. The total of 773 experimental data had been used. The proposed model had the best performance among the predictive models. This model showed errors essentially of the order of the experimental error for approximately ideal systems. All of the correlative models studied have shown errors essentially of the order of the experimental error. The proposed model is important because it is capable of predicting the surface tension of approximately ideal binary mixtures of hydrocarbons with high accuracy, beyond permitting the efficient correlation of the data of all the studied mixtures