Study of Service Life Prediction of Organic Coatings Based on Grey Neural Network
Received:May 28, 2011  Revised:October 15, 2011
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KeyWord:organic coatings  life prediction  gray theory  artificial neural network  grey neural network
           
AuthorInstitution
ZHOU Li-jian Qingdao Branch of Naval Aeronautical Engineering Academy, Qingdao , China
MU Zhi-tao Qingdao Branch of Naval Aeronautical Engineering Academy, Qingdao , China
XING Wei Qingdao Branch of Naval Aeronautical Engineering Academy, Qingdao , China
KONG Guang-ming Naval Aeronautical Engineering Academy, Yantai , China
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Abstract:
      There are numerous factors of atmospheric corrosion environment, so it is difficult to predict the service life of organic coatings. Based on gray theory and artificial neural network theory, a grey neural network model was established to predict the corrosion area of organic coatings, and then to predict service life. Accelerated test of simulated of coated aircraft structure was carried out. The results showed that the life prediction accuracy of organic coatings with grey neural network model is high, and the result is satisfactory.
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