Abstract
The corrosion tests are carried out on stainless steel, titanium alloy, copper alloy and high temperature alloy samples commonly used in an aviation engine. Scanning electron microscopy (SEM) and optical microscopy (OM) were used to observe the corrosion morphology of the corroded materials and 3D images after the corrosion products were removed. The corrosion rate was calculated by a weight loss method. A gradient boosting regression tree algorithm has good robustness for high‐dimensional data and is suitable for small‐sample data. The model can accurately predict the corrosion rate of metals and can analyze the factors that influence the corrosion rate.
Published Version
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