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| Forecasting Method of Aircraft LY12CZ Structure Corrosion Damage in Airport Environment |
| Received:April 25, 2011 Revised:October 15, 2011 |
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| DOI： |
| KeyWord:LY12CZ aluminum alloy EXCO solution equivalent relation factor neural network corrosion damage forecasting method |
| Author | Institution |
| LIU Zhi-guo |
Qingdao Branch of Naval Aeronautical Engineering Academy， Qingdao ， China |
| BIAN Ruo-peng |
Navy Military Representative Office in Baoding， Baoding ， China |
| CAI Zeng-jie |
Qingdao Branch of Naval Aeronautical Engineering Academy， Qingdao ， China |
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| Abstract: |
| Accelerated corrosion test of LY12CZ aluminum alloy was carried out in EXCO solution and the corrosion depth of the alloy was measured. Further more corrosion damage of aircraft LY12CZ structure with different service periods in true airport environment was counted. Based on the corrosion damage data of the two different environments and the corrosion damage equivalent relation, the equivalent relation factor between the EXCO solution and true airport environment was found. Then the neural network model based on EXCO solution test data with the BP algorithm was established. The corrosion damage of aircraft LY12CZ structure in the true airport environment was forecasted with the built model and the equivalent relation factor was found to be 0.023 6 under the two environments. The prediction results showed that the forecasting method is effective and applicable for LY12CZ corrosion damage estimation. |
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