Prediction of Ultimate Tensile Strength of Heat-Treated Additively Manufactured Ti6Al4V Using Machine Learning Regression

Key Points

• Ultimate tensile strength predictions show high accuracy using machine learning techniques.
• The model predicts tensile strength based on various heat treatment parameters over multiple trials.
• Analysis focused on heat-treated Ti6Al4V, utilizing regression algorithms to assess material performance.
• Highlights the importance of machine learning in optimizing additive manufacturing processes.