Prediction Of Acid Salt Spray Corrosion Of Aviation Aluminum Alloy Based On RBF Neutral Network

Due to the increasing severity of industrial pollution,the structural materials of aircrafts are inevitably in contact with the acidic environment during service period,making the aircraft fuselage structure inevitably subject to acid corrosion.The problem of aircraft corrosion has become a big trouble for the civil aviation industry.Aircraft corrosion not only directly affects the flight safety of the aircraft,but also reduces the service life of the aircraft,causing the aircraft to be grounded or even decommissioned in advance.Aircraft corrosion also imposes a heavy burden on the aircraft maintenance work,and also brings huge maintenance costs.Therefore,it is of great significance to study the corrosion prediction of aluminum alloys for aviation.First of all,in this paper,2024,5052 and 7075 aluminum alloy were used for acid salt spray experiment under different conditions.The pH value of salt spray experiment was 2,3 and 5,the concentration of salt spray was 25g/L,50g/L and 75g/L,and the corrosion time was 24 h,48h and 72 h respectively.Combine RBF neural network with orthogonal experiment design,take the different conditions test groups as the samples set of the neural network respectively and predict the value of verification group.The results of orthogonal test are analyzed by range analysis.The result shows that the prediction result of using both of the orthogonal group and supplemental peak group as the sample set is better than that of using only orthogonal group as the sample set;The combination of RBF neural network and orthogonal experiment design can reduce the required times of experiment and improve the prediction accuracy,and provide a new experimental method for corrosion prediction of aluminum alloys..The results of range analysis show that the most important factor affecting the mass loss per unit area of 2024 aluminum alloy is the pH value of the solution,followed by the concentration of salt spray and the corrosion time is the least.For the 5052 aluminum alloy and the 7075 aluminum alloy,the effect of corrosion time is greater than that of the salt spray pH and salt spray concentration.The data obtained from the salt spray test is then combined with the atmospheric exposure test data of aluminum alloy on the China Corrosion and Protection Network to establish a model to simulate the actual corrosion situation,and the model is used to predict the corrosion of classic structural parts of civil aircraft.The results show that although the predicted values are smaller than the actual values,the predicted values obtained by the model are effective only considering the security.