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Final Report - Strategic Environmental Research and Development ...

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Figure 6.17. EIS spectra for sample AA7075 treated with Alodine 5700 conversion coating,<br />

Hentzen 16708TEP primer <strong>and</strong> a polyurethane top coat (7075-AHP) after exposure to salt spray<br />

chamber for 30 days (arrows point in the direction of increasing exposure time). Sample showed<br />

no visual signs of corrosion (TTF>720 h) (EIS test area was 13.2 cm 2 ).<br />

These changes in the patterns of the Bode magnitude <strong>and</strong> phase angle plot over the course of the<br />

exposure experiment clearly differentiated these two samples. Through proper training, an ANN<br />

can be taught to recognize these patterns <strong>and</strong> their changes <strong>and</strong> associate them to corresponding<br />

results from an exposure experiment. When these patterns are sufficiently learned, the ANN can<br />

be supplied with EIS data <strong>and</strong> then estimate an outcome in exposure testing based on its previous<br />

learning experience.<br />

5.6.2.3.2 Time to failure. The time needed for any signs of visual corrosion (TTF) to appear<br />

after salt spray exposure was collected for all 60 coatings <strong>and</strong> is shown Table 6.5. Of the coating<br />

systems tested, 32 did not fail after 720 hours resulting in a poorly distributed data set, known as<br />

a right-censored data set with a surviving fraction of 0.553. The use of a neural network as a<br />

non-linear pattern recognition tool requires that the data to be used is well distributed so as to<br />

model the non-linearity. In our case, the data as collected by the TTF needed to be corrected.<br />

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