Prediction of Fatigue Crack Growth Behaviour in Ultrafine Grained Al 2014 Alloy Using Machine Learning
The present work investigates the relationship between fatigue crack growth rate (d<i>a</i>/d<i>N</i>) and stress intensity factor range (∆<i>K</i>) using machine learning models with the experimental fatigue crack growth rate (FCGR) data of cryo-rolled Al 2014 al...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-10-01
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| Series: | Metals |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4701/10/10/1349 |