
Discover how electrochemical impedance spectroscopy enables non-destructive study of corrosion by applying a sinusoidal potential and interpreting impedance spectra to reveal oxide layers, coating water uptake, and corrosion processes.
Learn how electrochemical impedance spectroscopy uses a potentiostat in corrosion studies, applying a sinusoidal potential of a given amplitude and frequency around the corrosion potential to measure impedance across frequencies.
Explore how polarisation resistance, double layer capacitance, and solution resistance shape the impedance spectrum, and how frequency, surface coatings, defects, and active area influence measurements.
Explore how polarization resistance, electrolyte resistance, and double layer capacitance shape the impedance spectrum and Nyquist plots, and how these factors influence phase peaks and corrosion behavior.
Explore how the measurement frequency range affects which corrosion parameters you can resolve, such as polarization resistance, electrolyte resistance, and capacitance, with guidance on low and high frequency trade-offs.
Examine how a surface layer like oxide or paint modifies the EIS response, introducing a layer resistance, charge transfer resistance, and double layer capacitance.
Explore a multi-branch impedance model of a surface with a layer, with electrolyte resistance in series with layer resistances and capacitances; adjust five sliders to view spectrum effects.
Visualize the impact of gamma changes by overlaying new spectra with previously calculated spectra on the same graph, enabling multi-curve comparison in electrochemical impedance spectroscopy.
Explore how the current responds near the corrosion potential using an interactive app, visualize behavior across potential ranges, and assess linearity of the response.
Explore how impedance spectroscopy parameters like the minimum frequency and points per decade determine the total measurement time in this interactive app.
Explore an interactive app that models the current response of a corroding surface under a potential waveform, using Faraday's law and anodic charge to estimate oxidized material and assess risk.
Explore factors affecting AIS measurement quality: corrosion-potential measurements at zero volts, appropriate amplitude for linear response to avoid surface damage, a frequency trade-off with time, and stationarity checks via kramers-kronig.
Explore the key equivalent circuit elements used in corrosion impedance spectroscopy, including resistors, capacitors, constant phase elements, inductors, and Warburgs, and how they shape impedance spectra.
Note: This course is also available on this platform in Spanish language ( Espectroscopía de impedancia electroquímica para corrosión ) and Italian language ( Spettroscopia di Impedenza Elettrochimica per la Corrosione )
In this course, we will take a practical approach to understanding and using electrochemical impedance spectroscopy (EIS) for corrosion measurement and analysis. We will begin by covering the basics of EIS, discussing essential concepts like impedance, alternating current signals, and corrosion surface phenomena, all aimed at making EIS accessible and straightforward for everyone, and we will finish with a practical example of fitting a complex EIS spectrum.
In Section 1, we will learn about the fundamentals of corrosion and impedance in electrochemical systems, building the foundation for understanding how and why EIS is applied to corrosion studies. In Section 2 we will look at how the processes occurring on the surface impact on the EIS responses, considering key factors like polarization resistance, double layer capacitance, and the impact of surface coatings on the EIS response.
In Section 3, we will focus on practical considerations for measuring EIS spectra. We will discuss critical topics such as the selection of signal amplitude, the measurement frequency range, and the importance of stationarity to obtain reliable results. Finally, in Section 4, we will learn how to interpret EIS spectra using equivalent circuit models, exploring characteristic responses and fitting techniques to extract valuable information from the data.
By the end of the course, we will have the knowledge and skills needed to confidently measure, model, and interpret EIS data for effective corrosion analysis.