About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing of Refractory Metallic Materials
|
| Presentation Title |
Multiscale Numerical Modeling of Stochastic Electron Beam Powder Bed Fusion of Tungsten and Tungsten–Rhenium Alloys |
| Author(s) |
Shashank Sharma, Zane Hughes, Krishna Verma, Selvamurugan Palanaippan , Sameehan S Joshi, Narendra Dahotre |
| On-Site Speaker (Planned) |
Shashank Sharma |
| Abstract Scope |
Powder bed fusion of tungsten and tungsten–rhenium (5–25%) alloys remains inherently challenging due to their high melting points and brittleness. Recent advancements in stochastic, spot-based electron beam powder bed fusion (EBPBF), coupled with preheating above the ductile-to-brittle transition temperature, have enabled dense, crack-free fabrication. To establish process–structure relationships and support alloy design, a multiscale numerical framework was developed. This included high-fidelity spot-scale thermofluidic simulations, mesoscale layer-wise thermokinetic and thermomechanical modeling, and non-linear solidification kinetics using CALPHAD-based Scheil curve formulations. The model captures complex mushy zone behavior under stochastic thermal fields. Numerical predictions were validated with the help of stochastic EBPBF fabrication of W and W–Re alloys. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Modeling and Simulation, High-Temperature Materials, Additive Manufacturing |