About this Abstract |
Meeting |
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
Symposium
|
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
Presentation Title |
(On-Demand) A High Fidelity Melt Pool Dynamics Model with Experimental Validation Results Against NIST Benchmark AMB2018-2 |
Author(s) |
Kyung-min Hong, Corbin Grohol, Yung C. Shin |
On-Site Speaker (Planned) |
Yung C. Shin |
Abstract Scope |
This presentation covers the high fidelity welding model developed to study the melt-pool dynamics with the consideration of relevant physics and laser beam absorption via multiple reflections in the keyhole using ray tracing. The high-fidelity welding model accounts for the effects of phase change, recoil pressure, and energy loss in the form of latent heat. The transport phenomena in both the condensed (solid and liquid) and non-condensed regions (metallic vapor and ambient gas) are calculated by the governing equations of mass, momentum, and energy, coupled with the conservation equation of chemical species. The simulated results of molten pool shapes and cooling rates are compared with various other predictive modeling results for the NIST benchmark AMB2018-02 with and without keyhole formation. Based on the predicted cooling rate distribution around the molten pool, microstructure morphologies are predicted and compared against corresponding experimental results. |
Proceedings Inclusion? |
Undecided |