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Final Report - Strategic Environmental Research and Development ...

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components of the impedance <strong>and</strong> the phase angle at each frequency of the frequency domain.<br />

For each variable, 14 independent measurements were acquired, each at a different exposure<br />

time. Each measurement (p) of that input variable (x i ) was scaled to range between 0 <strong>and</strong> 1 <strong>and</strong><br />

the degree of membership φ i (x i ) for each measurement at each input was computed using a<br />

Gaussian function:<br />

ip<br />

x<br />

( xi<br />

) exp<br />

<br />

<br />

<br />

ip<br />

x<br />

b<br />

i<br />

2<br />

<br />

<br />

<br />

<br />

<br />

<br />

(eq. 6.2.4)<br />

where the constant b was given a value of 20% of the average of that particular input variable, p<br />

ranged from 1 to Q where Q represent the total number of independent measurements <strong>and</strong> i is the<br />

number of inputs [17].<br />

To determine the extent to which an input variable affected the model output, graded or fuzzy<br />

membership function describing each input variable was defuzzified using the centroid<br />

defuzzification process [28]. In this method, a fuzzy parameter c i (x i ) was obtained by:<br />

c<br />

i<br />

<br />

x<br />

i<br />

<br />

<br />

Q<br />

<br />

( x )* y<br />

ip<br />

p1<br />

Q<br />

<br />

p1<br />

ip<br />

i<br />

( x )<br />

i<br />

p<br />

(eq. 6.2.5)<br />

where y p is the output value of the p measurement. When the output y p is sensitive to a change<br />

in the variable x i , the membership function φ ip (x i ) <strong>and</strong> output value, y p , will scale together<br />

resulting in a large range for the product of φ ip (x i )*y p <strong>and</strong> a large value for the fuzzy parameter<br />

c i (x i ). The range c i (x i ) over the range of the input variable x i is directly proportional to the<br />

product φ ip (x i )*y p . Therefore as the range of the c i (x i ) increases, the significance of input variable<br />

x i on the output y also increases. Variables with the largest c i (x i ) range this exert the greatest<br />

influence on the value of the output. Inputs with small ranges have a small significance <strong>and</strong> are<br />

c<strong>and</strong>idates for pruning from the model.<br />

5.6.2.3 Results<br />

5.6.2.3.1 EIS results. Two sets of EIS spectra from a single sample type are shown in Figures<br />

6.16 <strong>and</strong> 6.17 to illustrate the evolution in the EIS response. These spectra are for AA7075 with<br />

Alodine 5200 conversion coating, a Hentzen 16708TEP primer, <strong>and</strong> a polyurethane topcoat<br />

(sample AA7075-AHP), <strong>and</strong> AA7075 with PreKote pre-treament, a Sicopoxy 577-630 <strong>and</strong> a<br />

polyurethane topcoat (sample AA7075-PSP) respectively. The AA7075-AHP sample showed no<br />

signs of visual corrosion over the course of the exposure, while AA7075-PSP showed visual<br />

failure after 196 h. Although both samples showed a decrease in the low frequency impedance<br />

as a function of exposure from a value of 10 8 ohm . cm 2 to 10 4 ohm . cm 2 , the way in which this<br />

happened is different for each sample. Sample AA7075-AHP showed a constant value of the<br />

total impedance until 10 hours of exposure followed by a drop of two orders of magnitude. The<br />

AA7075-PSP sample showed a more progressive decrease during the experiment. Another<br />

285

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