| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
High Performance Steels
|
| Presentation Title |
Genetic Design of Cu Nanoprecipitation Hardened Marageing Steels for Additive Manufacturing |
| Author(s) |
Pedro Rivera-Diaz-Del-Castillo, Xinjiang Hao, Hossein Eskandari Sabzi |
| On-Site Speaker (Planned) |
Pedro Rivera-Diaz-Del-Castillo |
| Abstract Scope |
A genetic algorithm for the design of precipitation-hardening (PH) stainless steels (SSs) for additive manufacturing (AM) is presented. A fully martensitic matrix is found to be the key factor for achieving the maximum strength but, unlike earlier studies, in situ ageing treatment unique to AM is also taken into consideration, leading to the promotion of precipitation of Cu-rich precipitates during AM. Design theories are integrated to a genetic algorithm optimisation framework to maximise strength and printability. Experimental proof of concept was made by fabricating the novel alloy components using laser powder bed fusion (LPBF) AM. The superior mechanical properties of the designed alloy were attributed mainly to precipitation hardening and dislocation strengthening. Precipitation hardening, controlled by a high dislocation density of the matrix as a result of dislocation multiplication and annihilation during printing, is the main responsible for the improvement of yield strength of the LPBFed novel PH SS. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Iron and Steel, Additive Manufacturing, Modeling and Simulation |