Development and assessment of machine learning models for predicting fatigue response in AA2024
Accurate prediction of fatigue life is vital in the design of aerospace components subjected to varying stress levels and loading frequencies. In the current research, machine learning (ML) models were developed to predict the fatigue life of AA2024-T6, a popular aerospace grade alloy, under differe...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
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| Series: | Materials Research Express |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2053-1591/ada41c |
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