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Fitting procedure based on Differential Evolution to evaluate impedance parameters of metal–coating systems

Francisco González (University Institute of Intelligent Systems and Numerical Applications in Engineering (SIANI), Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain)
David Greiner (University Institute of Intelligent Systems and Numerical Applications in Engineering (SIANI), Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain)
Vicente Mena (Department of Process Engineering, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain)
Ricardo M. Souto (Department of Chemical Engineering, Universidad de La Laguna, San Cristóbal de La Laguna, Spain, and University Institute of Materials and Nanotechnology (IMN), Universidad de La Laguna, San Cristóbal de La Laguna, Spain)
Juan J. Santana (Department of Process Engineering, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain)
Juan J. Aznárez (University Institute of Intelligent Systems and Numerical Applications in Engineering (SIANI), Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain)

Engineering Computations

ISSN: 0264-4401

Article publication date: 16 July 2019

Issue publication date: 19 November 2019

311

Abstract

Purpose

Impedance data obtained by electrochemical impedance spectroscopy (EIS) are fitted to a relevant electrical equivalent circuit to evaluate parameters directly related to the resistance and the durability of metal–coating systems. The purpose of this study is to present a novel and more efficient computational strategy for the modelling of EIS measurements using the Differential Evolution paradigm.

Design/methodology/approach

An alternative method to non-linear regression algorithms for the analysis of measured data in terms of equivalent circuit parameters is provided by evolutionary algorithms, particularly the Differential Evolution (DE) algorithms (standard DE and a representative of the self-adaptive DE paradigm were used).

Findings

The results obtained with DE algorithms were compared with those yielding from commercial fitting software, achieving a more accurate solution, and a better parameter identification, in all the cases treated. Further, an enhanced fitting power for the modelling of metal–coating systems was obtained.

Originality/value

The great potential of the developed tool has been demonstrated in the analysis of the evolution of EIS spectra due to progressive degradation of metal–coating systems. Open codes of the different differential algorithms used are included, and also, examples tackled in the document are open. It allows the complete use, or improvement, of the developed tool by researchers.

Keywords

Acknowledgements

This work was supported by the Agencia Canaria de Investigación, Innovación y Sociedad de la Información (ACIISI) of the Government of Canary Islands (Spain) and FEDER through research project ProID2017010042. F. González is a recipient of the fellowship FPU14/06936 from the Ministerio de Educación, Cultura y Deporte of Spain. The authors are grateful for this support.

Citation

González, F., Greiner, D., Mena, V., Souto, R.M., Santana, J.J. and Aznárez, J.J. (2019), "Fitting procedure based on Differential Evolution to evaluate impedance parameters of metal–coating systems", Engineering Computations, Vol. 36 No. 9, pp. 2960-2982. https://doi.org/10.1108/EC-11-2018-0513

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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