Inversão de funções do plano no plano aplicada ao cálculo de azeótropos

• Autor(a) principal: Guedes, Aline de Lima
• Data de Publicação: 2013
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UERJ
• Texto Completo: http://www.bdtd.uerj.br/handle/1/13667
• topic: Double azeotropy; Functions from plane to the plane; Nonlinear algebraic systems; Azeótropo - Modelos matemáticos; Funções do plano no plano; Análise funcional não-linear; Análise numérica; Sistemas não-lineares; CNPQ::CIENCIAS EXATAS E DA TERRA::MATEMATICA::MATEMATICA APLICADA

Azeotropy is a thermodynamic phenomenon where a boiling liquid produces a vapor phase with identical composition. This situation is a challenge for Separation Engineering, since distillation processes explore differences between relative volatilities and, then, an azeotrope can be a barrier for the separation. In binary mixtures, the azeotrope calculation is represented by a 2×2 nonlinear algebraic system. An interesting and rare case is known as double azeotropy, that occurs when this nonlinear system exhibits two solutions, corresponding to two distinct azeotropes. Several numerical methods have been used in the solutions of this kind of problem, as stochastic optimization approaches and interval techniques (as interval Newton/generalized bisection methods). In this work, we present the formulation of the double azeotrope problem solved by a new and robust framework for 2 × 2 nonlinear systems, called the inversion of functions from the plane to the plane (MALTA; SALDANHA; TOMEI, 1996). In this method, the solutions were obtained by a set of procedures: generation of critical curves and pre-images of arbitrary points, construction of paths in the image and the corresponding ones in the domain and, finally, the expected solutions for the azeotropy problem. We present numerical results for the calculation of azeotropes in the benzene + hexafluorobenzene system at low pressures using this technique. As auxiliary tools, we also present extensive numerical results using Newton methods with globalization techniques and using the metaheuristic Continuous-GRASP (CGRASP).