LEVENBERG-MARQUARDT METHOD APPLIED TO THE DETERMINATION OF VAPOR-LIQUID EQUILIBRIUM MODEL PARAMETERS

 In order to correlate and optimize experimental data either from the laboratory or industry, one needs a robust method of data regression. Among the non-linear parameter estimation methods it may be pointed out of Levenberg, which applies the conversion of an arbitrary matrix into a positive defini...

Full description

Saved in:
Bibliographic Details
Published inLatin American applied research Vol. 44; no. 4; pp. 319 - 324
Main Authors OLIVEIRA, J.A. F., DUARTE, M.M. L., FOLETTO, E. L., CHIAVONE-FILHO, O.
Format Journal Article
LanguageEnglish
Published 31.10.2014
Online AccessGet full text

Cover

Loading…
More Information
Summary: In order to correlate and optimize experimental data either from the laboratory or industry, one needs a robust method of data regression. Among the non-linear parameter estimation methods it may be pointed out of Levenberg, which applies the conversion of an arbitrary matrix into a positive definite one. Later, Marquardt applied the same procedure, calculating  parameter in an iterative form. The Levenberg-Marquardt algorithm is described and two routine for correlating vaporliquid equilibrium data for pure component and mixtures, based on this efficient method, have been applied. The routines have been written with an interface very accessible for both users and programmers, using Python language. The flexibility of the developed programs for introducing the desired details is quite interesting for both process simulators and modeling properties. Furthermore, for mixtures with electrolytes, it was obtained a coherent and compatible relation for the structural parameters of the salt species, with the aid of the method and the graphical interface designed.
ISSN:0327-0793
1851-8796
DOI:10.52292/j.laar.2014.460