A Comparative Analysis of Multitask Neural Networks and Stacking Ensemble Learning for Predicting UTS, Weld Hardness, and HAZ Hardness in Welding Applications
Accurately predicting welding performance measures like ultimate strength (UTS), weld bead hardness, and HAZ mechanical hardness is crucial for ensuring the structural integrity and performance of welded components.
Authors
- Gaurang Joshi (ORCID: https://orcid.org/0000-0001-6786-8793)
- Durgesh Srivastava
- Amit Sata (ORCID: https://orcid.org/0000-0002-0945-3095)
- Sama Mukhtar (ORCID: https://orcid.org/0000-0002-1807-8151)
Institutions
- Marwadi University (IN)
- Sohar University (OM)
Publication Details
- Published
- 2025-11-07
- DOI
- https://doi.org/10.3390/engproc2025114019
- Citations
- 1
- Primary Topic
- Welding Techniques and Residual Stresses
- Type
- article
- Field-Weighted Citation Impact
- 0.71