Abstract Scope |
Metal additive manufacturing has numerous advantages in industries, however due to its complexity, estimating product’s microstructure is a challenging, but yet essential task to solve. Therefore, current study focuses on developing rapid solidification model that could be applied to selective laser melting. Various models for solidification were adopted to advance the model. Using process parameters, primary dendrite arm spacing (PDAS), primary cell fraction, and solute profile were predicted. Single track experiments with various process condition using Al-12Si binary alloy were held to compare and verify the presented model. Authentication was also done by using empirical data from single track experiment from other studies. Utilizing single semi-empirical parameter, both PDAS and microsegregation model showed a great agreement with experimental data. Deviation between experiment and model was elucidated by abnormal property of Al-Si alloys. Furthermore, PDAS estimation for various concentration and predicting modified eutectic point were done for application. |