RBF-assisted surrogate modeling and machine learning for mechanical property prediction in friction stir additive manufacturing: Application to dissimilar AA6061/AA7075 aluminum alloys.

Saved in:
Bibliographic Details
Title: RBF-assisted surrogate modeling and machine learning for mechanical property prediction in friction stir additive manufacturing: Application to dissimilar AA6061/AA7075 aluminum alloys.
Authors: Venkatachalam, Krishnan1 (AUTHOR), Selvaraj, Senthil Kumaran2 (AUTHOR) saisenthilkumaranselvaraj@gmail.com, Mannayee, Giriraj2 (AUTHOR), Pattabiraman, Kalyanaraman1 (AUTHOR), G, Sundaramali2 (AUTHOR)
Source: Scientific Reports. 5/4/2026, Vol. 16 Issue 1, p1-47. 47p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
Description
ISSN:20452322
DOI:10.1038/s41598-026-42608-7