| About this Abstract |
| Meeting |
MS&T22: Materials Science & Technology
|
| Symposium
|
Inference-based Approaches for Material Discovery and Property Optimisation
|
| Presentation Title |
High Throughput CALPHAD-based Thermodynamic and Kinetic Evaluation of Stainless-steel Solidification |
| Author(s) |
Nathan Daubenmier, Benjamin Sutton, Antonio Ramirez |
| On-Site Speaker (Planned) |
Nathan Daubenmier |
| Abstract Scope |
Solidification cracking in stainless steel weld metal poses an additional challenge to fusion-based additive manufacturing processes over traditional manufacturing processes due to the whole part being formed from as solidified material. Because primary solidification mode strongly dictates solidification cracking and is highly dependent on chemical composition and solidification rate, widely used and accepted predictive diagrams such as the Schaeffler and WRC-1992 diagram are utilized to assess potential solidification cracking concerns. Advances in computational techniques enable solidification simulations to be run on large compositional ranges. This provides an additional avenue for predicting primary solidification mode in stainless steel alloys. This work used high-throughput computational thermodynamic simulations to develop a diagram to predict primary solidification mode for stainless steel. By simulating the stable and metastable liquidus temperatures for randomly generated chemistries, a new set of nickel and chromium equivalency relationships were developed that provide sharp delineation between primary austenite and ferrite solidification. |