RT info:eu-repo/semantics/article
T1 Chemical process simulation using evolutionary algorithms: application to the analysis of impedance parameters of electrochemical systems
A1 Souto, Ricardo Manuel
A1 Greiner, D.
A1 González, F.
A1 Aznárez, J.J.
A1 Mena, Vicente
A1 Santana, Juan José
K1 evolutionary algorithms
K1 differential evolution
K1 Electrochemical Impedance Spectroscopy
K1 metal/coating systems
K1 simulation of impedance diagrams
K1 equivalent circuit
K1 parameter estimation
AB Electrochemical Impedance Spectroscopy (EIS) is a powerful tool in the characterization of organic coated metal systems because the method can give both qualitative and quantitative information regarding their behavior. Impedance data are fitted to a relevant electrical equivalent circuit in order to evaluate parameters directly related to the resistance and the durability of coated metal systems. The parametric analysis of the measured data is usually performed using non-linear regression algorithms, though they present the major disadvantage that correct fitting requires introduction of initial values for the parameters adequate to produce a quick and good convergence of the fitting process. An alternate method to regression algorithms for the analysis of measured impedance data in terms of equivalent circuit parameters is provided by evolutionary algorithms, more especially the differential evolution algorithms. The applicability of this method was tested by comparison with the results produced using a commercial fitting software (namely, ZSimpWin). In all the cases, better fitting results were obtained using the differential evolution algorithm
YR 2015
FD 2015
LK http://riull.ull.es/xmlui/handle/915/19069
UL http://riull.ull.es/xmlui/handle/915/19069
LA en
DS Repositorio institucional de la Universidad de La Laguna
RD 27-dic-2024