Effect of Friction Stir Processing on Fatigue Properties of Al 6061-T6 Plates and Optimizing the FSP Parameters Using Machine Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3654-6_15
Reference6 articles.
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3. Mehdi H, Mehdi RS (2021) Effect of multi-pass friction stir processing and SiC nanoparticles on microstructure and mechanical properties of AA6082-T6. Adv Manuf Eng 3:100–115
4. Goel S, Naveen G, Gupta A (2018) Effect of process parameters on mechanical and metallurgical properties of friction stir processed AZ31Mg alloy. Materials Today: Proceedings 5:4575–4583
5. Anandan B, Manikandan M (2021) Machine learning approach with various regression models for predicting the ultimate tensile strength of the friction stir welded AA 2050-T8 joints by the K-Fold cross-validation method. Mater Today Commun 34
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