Prediction of Ultimate Tensile Strength of Heat-Treated Additively Manufactured Ti6Al4V Using Machine Learning Regression
Fields of Study & Subjects
Additive Manufacturing Materials and Processes
Cellular and Composite Structures
Additive Manufacturing and 3D Printing Technologies
Publication details
- Journal / source
- Journal of Materials Engineering and Performance
- Publisher
- Springer Science and Business Media LLC
- Volume
- 35
- Issue
- 23
- Pages
- 23675–23698
- Publication date
- 30 January 2026
- Language
- EN