About this Abstract |
Meeting |
2022 TMS Annual Meeting & Exhibition
|
Symposium
|
Foundations of Additive Manufacturing Course – Project Posters
|
Presentation Title |
J-46: A CFD Model to Predict the Thermo-fluid Properties of AlCoCrFeNi High Entropy Alloy in Powder-bed Laser Beam Additive Manufacturing |
Author(s) |
Chayan Das, Praveen Sreeramagiri, Ganesh Balasubramanian |
On-Site Speaker (Planned) |
Chayan Das |
Abstract Scope |
The complex solidification cycles exerted on high entropy alloys (HEAs) processed using laser based additive manufacturing (AM) techniques, often leads to certain artifacts (such as cracks), affecting the build quality; which is a function of process parameters employed (viz., laser power, scan speed, hatch distance, etc.), and their effects on the thermal properties (such as the gradients and their associated stresses). Using a three-dimensional computational fluid dynamics (CFD) model, we examine the effect of various process parameters on the thermal behavior while processing AlCoCrFeNi high entropy alloy. Our model utilizes an external volumetric heat source to simulate a moving laser, leveraging the principles of thermodynamics based CALPHAD/Schiel simulations to estimate the thermal properties of the melt-pool. Our model provides valuable insights on the effects of various processing conditions on the thermodynamic properties (viz., temperature field, thermal conductivity, etc.) of the material while processing. |
Proceedings Inclusion? |
Undecided |
Keywords |
Aluminum, High-Entropy Alloys, Other |