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Final Report - Strategic Environmental Research and Development ...

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expensive <strong>and</strong> extensive analyst training is needed to interpret the resulting data. For these<br />

reasons EIS is not a routine tool for the coatings industry. Nonetheless, it is a method that offers<br />

quantitative information <strong>and</strong> can be used in conjunction with field or accelerated exposure<br />

protocols to characterize damage accumulation.<br />

Equivalent circuit (EC) modeling is the basis for much interpretation of EIS data collected for<br />

coated metals. The evolution in time of EC elements, such as resistors <strong>and</strong> capacitors, can give<br />

information on the corrosion protection given by a coating <strong>and</strong> can be used to characterize<br />

aspects of coating performance [19]. The circuit shown in Figure 6.1 can be used to model the<br />

response of a bare metal protected by a porous coating.<br />

To assess the extent of coating delamination, Mansfeld proposed that the delamination area, A del ,<br />

could be extracted from a ratio of measured capacitances [20]:<br />

C<br />

C<br />

0<br />

dl<br />

dl<br />

A<br />

del<br />

(eq. 6.1.1)<br />

0<br />

where C is the area-specific value for the metal-coating interface capacitance (F/cm 2 ) <strong>and</strong><br />

dl<br />

C<br />

dl<br />

(F) is extracted from the EC fitting of measured data from a coated metal sample experiencing<br />

coating disbondment. The model proposed by Mansfeld assumes that the change in C<br />

dl<br />

is due to<br />

a change in the delaminated area <strong>and</strong> that changes in solution chemistry or the metal interface<br />

0<br />

change C during the course of the disbondment process. This model was implemented by<br />

dl<br />

Deflorian <strong>and</strong> co-workers to monitor the adhesion of different aluminum pre-treatments [21].<br />

The authors found a good correlation between dry adhesion (measured with a pull-off test) <strong>and</strong><br />

that given by A del. Also, they were able to establish a ranking among pre-treatments based on<br />

A del .<br />

Mansfeld <strong>and</strong> co-workers also used the change in the pore resistance (R pore ) to evaluate<br />

breakdown of the corrosion protection by polymer coatings in aluminum <strong>and</strong> steel alloys [22].<br />

They concluded that breakdown was caused by the short circuiting of the coating which is<br />

measured by a decrease in the R pore value. In this method, R pore is used as the parameter to<br />

measure coating degradation. Corrosion protection characterization by the R pore method <strong>and</strong> the<br />

delaminated area method are based on EC modeling.<br />

Using EIS data, collected after 24 hours of exposure in 0.5M NaCl in the input layer of an<br />

Artificial Neural Network (ANN), Kumar <strong>and</strong> co-workers used ANN to predict visual<br />

degradation of a set of coated metals exposed to 1500 hours in a salt spray chamber [23]. They<br />

found a correlation between ANN predicted <strong>and</strong> visually observed times to failures with a R 2 of<br />

0.90. The authors also found that information contained in the phase angle parameter at low or<br />

intermediate frequencies was more relevant than any other EIS-derived parameter.<br />

The objective of this work was to assess the protectiveness of several emergent coating systems<br />

using EIS-based analysis of samples subjected to ASTM B117 exposure. This approach allowed<br />

a detailed assessment of the relative protectiveness of emergent Cr-free coating systems <strong>and</strong><br />

260

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