About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
2026 Technical Division Student Poster Contest
|
| Presentation Title |
SPG-55: Physics-Based Melt-Pool Simulation for Hatch Spacing Optimization of LPBF IN625
|
| Author(s) |
Mohammad Younes Araghi, Shuozhi Xu |
| On-Site Speaker (Planned) |
Mohammad Younes Araghi |
| Abstract Scope |
Additive manufacturing of Ni-based alloys offers major design and performance advantages, but qualification is often limited by defect formation and cracking sensitivity under the extreme thermal gradients of laser powder bed fusion (LPBF). This work combines computational thermodynamics (Thermo-Calc/CALPHAD) with physics-based melt-pool simulation (FLOW-3D AM) to support process optimization for IN625. FLOW-3D AM simulations were performed to map melt-pool behavior and overlap conditions across hatch spacing values of 7–19 µm using three-pass and four-pass scan strategies at laser powers between 300–350 W. The results show that optimum hatch spacing depends on both energy input and multi-pass strategy: at 350 W, the optimum spacing was 11 µm for three-pass and 13 µm for four-pass; at 320 W, optima shifted to 9 µm and 12 µm, respectively, with similar trends at 300 W. These findings highlight coupled process–melt-pool interactions that can guide more efficient parameter selection and reduce trial-and-error in LPBF. |
| Proceedings Inclusion? |
Undecided |
| Keywords |
Additive Manufacturing, Computational Materials Science & Engineering, Modeling and Simulation |