This study investigates the growth kinetics and spallation behavior of oxide scales formed under steam environments on alloys used in high-temperature plants. The influence of alloy composition is analyzed using two approaches: an empirical model based on the concept of “chromium equivalent” and a neural network model. Both models demonstrate a good correlation with experimental results when sufficient data is available to generate the model parameters. However, there is insufficient data on scale spallation to develop similar models describing the influence of alloy composition on this phenomenon.

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