About this Abstract |
Meeting |
MS&T24: Materials Science & Technology
|
Symposium
|
Additive Manufacturing Modeling, Simulation, and Machine Learning: Microstructure, Mechanics, and Process
|
Presentation Title |
Assessment of New Hot Crack Susceptibility Index Based on Interdendritic Pressure Drop Simulations |
Author(s) |
Joshua Maile, Abdulquadri Tobi Oriola, A Nguyen, Eric J. Payton |
On-Site Speaker (Planned) |
Joshua Maile |
Abstract Scope |
Established indexes for predicting hot cracking susceptibility exhibit limited agreement with experiments for additive manufacturing of new refractory alloys. A recently published approach from Giorjao, et al. provides a means of prediction through assuming the Scheil solidification profile of a given alloy can represent its interdendritic wall geometry. Laminar flow simulations are performed with this profile mirrored about a central axis creating a funnel. Laminar flow in this geometry creates a pressure difference which is hypothesized to correlate with crack susceptibility. While the method
described shows promise, no sensitivity study for the parameters has yet been published. Pressure drop simulations were automated in COMSOL Multiphysics software with the aid of Python to evaluate where the boundary conditions of validity are found in these parameters used in the model. Results are subsequently compared to laser glazing experiments on four RHEAs. |