About this Abstract |
| Meeting |
2025 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2025)
|
| Symposium
|
2025 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2025)
|
| Presentation Title |
Experimental Validation and Calibration of Computationally Efficient Mesoscale Microstructure Model for LPBF-Processed Ti-6Al-4V |
| Author(s) |
Ioannis Dalezios, Gregory Wong, Anthony Rollett |
| On-Site Speaker (Planned) |
Ioannis Dalezios |
| Abstract Scope |
Modeling additively manufactured parts under varying process conditions is critical for predicting microstructure and mechanical properties. Digital twins enhance part performance confidence while reducing operational costs in advanced manufacturing. The study employs the novel PassScale mesoscale simulation model to generate Ti-6Al-4V microstructures under different Laser Powder Bed Fusion (LPBF) processing parameters. Simulated microstructures are rigorously validated against Electron Backscatter Diffraction (EBSD) experimental data, comprehensively comparing key microstructural features including texture, grain size, aspect ratio, and grain boundary characteristics. This comprehensive validation provides critical insights into the model's predictive accuracy and establishes a robust foundation for further refinement of computational modeling approaches. The research demonstrates the potential for more efficient and precise digital representations of additive manufacturing processes, bridging the gap between computational simulation and experimental observation. |
| Proceedings Inclusion? |
Planned: Post-meeting proceedings |