Experimental and Numerical Investigation into the Effect of Water Uptake on the Capacitance of an Organic Coating

Water uptake by organic coating systems used for corrosion prevention on airframes is one of the principal contributors to the loss of barrier properties of the coating. We used equivalent circuit analyses of electrochemical impedance spectroscopy (EIS) data to track changes in coating layer capacitance for a two-layer coating system consisting of an epoxy primer and polyurethane topcoat immersed in NaCl solutions with different concentrations and temperatures. The capacitance curve exhibited two different response regions, consistent with the two-stage kinetics mechanisms for water uptake by the polymers. We tested several numerical diffusion models of water sorption and found the most successful to be one that varied the diffusion coefficient as a function of polymer type and immersion time and accounted for physical aging processes in the polymer. We employed the Brasher mixing law along with the water sorption model to estimate the coating capacitance as a function of water uptake. The predicted capacitance of the coating was found to be consistent with the capacitance obtained from the EIS data, which is consistent with theories that water uptake occurs via initial rapid transport followed by a much slower aging process. Thus, both these water uptake processes need to be considered when making EIS measurements to assess the state of a coating system.

Automated summary

Water uptake is a major factor in the loss of barrier properties in organic coating systems used for corrosion prevention on airframes. Using electrochemical impedance spectroscopy (EIS), we tracked changes in coating layer capacitance for a two-layer coating system immersed in NaCl solutions. The capacitance curve showed two response regions, consistent with the two-stage kinetics mechanisms for water uptake by the polymers. Diffusion models and the Brasher mixing law were employed to estimate coating capacitance, which was found to be consistent with EIS data.