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What is Fatigue Strength Prediction of Nickel-Based Superalloy about?

This study explores the use of machine learning methods to predict the fatigue strength of a nickel-based superalloy (GH4169) influenced by various factors such as temperature and stress ratios. Three models—gradient boosting regression tree, long short-term memory, and polynomial regression with ridge regularization—were evaluated, revealing that the predictive capability is highly dependent on the training data. The findings suggest that while machine learning shows promise in fatigue strength prediction,

Author

ssnnaa.1368

Language

EN