About this Abstract |
Meeting |
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
|
Symposium
|
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
|
Presentation Title |
Extrapolation of Upskin and Downskin Surface Roughness Using 3D Simulated Data for Laser Powder-bed Fabrication of Ti64 |
Author(s) |
Beytullah Aydogan, Kevin Chou |
On-Site Speaker (Planned) |
|
Abstract Scope |
Simulation of additive manufacturing has become a prominent research area in the past decade. Surface roughness significantly influences part quality, yet accurately predicting it using simulation remains a persistent challenge. This study aims to calculate surface roughness by utilizing 3D surface topology extracted from simulated data. The laser powder-bed fusion technique was simulated using process physics simulation. Ten layers were simulated at three different linear energy densities, low, medium, and high, positioned at a 30-degree angle to accommodate upskin and downskin effects. Furthermore, a 3D representation of the melted region for each layer was generated using thermal-gradient output of simulation. Generated 3D layers were stacked on each other and merged to consolidate a 3D representation of the overall sample. Surfaces (upskin, downskin, and side skins) were harvested from this merged sample. Subsequently, surfaces were analyzed, and surface roughness was calculated using Matlab. These values were then compared with experimental results. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |