Retrograde vaporization calculation is a hard problem, which possesses several solutions and demands a robust algorithm. In the present work, we solved the double retrograde vaporization problem by hybrid global-local optimization. In fact, we propose a new methodology that involves fuzzy clustering means together with Luus-Jaakola and Nelder-Mead algorithms. We applied the proposed methodology to solve the double retrograde vaporization problem for binary systems of methane + n-butane. For this mixture, the dew point curve exhibits an S-shape at temperatures slightly below the critical temperature of the more volatile component. This binary mixture was modeled using the original Peng-Robinson equation of state and the classical one-fluid van der Waals mixing rule.

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Prediction of Double Retrograde Vaporization by Hybrid Global-Local Optimization Using Fuzzy Clustering Means
Nelio Henderson / Wagner Figueiredo Sacco
1Universidade do Estado do Rio de Janeiro
1Universidade do Estado do Rio de Janeiro
Citation Information: Chemical Product and Process Modeling. Volume 3, Issue 1, Pages –, ISSN (Online) 1934-2659, DOI: 10.2202/1934-2659.1276, October 2008
Publication History:
- Published Online:
- 2008-10-24
Keywords: double retrograde vaporization; global optimization; clustering methods


















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