About this Abstract |
Meeting |
MS&T22: Materials Science & Technology
|
Symposium
|
Additive Manufacturing Modeling, Simulation, and Machine Learning: Microstructure, Mechanics, and Process
|
Presentation Title |
Modeling the Solidification Cracking Susceptibility of Additively Manufactured Alloys |
Author(s) |
Noah A. Sargent, Soumya Sridar, Richard Otis, Wei Xiong |
On-Site Speaker (Planned) |
Noah A. Sargent |
Abstract Scope |
Deviation from thermodynamic equilibrium during rapid solidification in additive manufacturing processes causes microsegregation, depression of the solidus temperature, and increased susceptibility to solidification cracking. Modeling the combined effect of kinetics and thermodynamics on solidification in complex multi-component systems is a challenge because part-scale thermal models for the additive manufacturing process and multi-component solidification models must be linked together. This work covers recent work on modeling the effect of thermal history on solidification in both laser powder bed fusion and wire arc additive manufacturing processes. Thermal modeling and experiments are integrated into a CALPHAD-based ICME framework to predict the impact of processing parameters, build geometry, and composition on solidification cracking susceptibility. Modeling results show that increasing the energy density reduces the solidification cracking susceptibility of stainless steel 316L made with laser powder bed fusion, and location-specific thermal history impacts the solidification cracking susceptibility in the wire arc additive manufacturing process. |