| 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 |
Predicting Surface Roughness in Laser Powder Bed Fusion Parts after Laser Polishing: A Multi-Physics Simulation Approach |
| Author(s) |
Hong-Chuong Tran, Dac-Phuc Pham , Duc-Kien Hoang |
| On-Site Speaker (Planned) |
Hong-Chuong Tran |
| Abstract Scope |
Laser powder bed fusion (L-PBF) uses a controlled laser beam to melt specific regions of a metal powder bed in a layer-by-layer fashion to fabricate parts with an intricate geometry. However, due to the stochastic nature of the L-PBF process, many defects may occur during the build process, including distortion, porosity, and high surface roughness. A poor roughness of the upper surface is frequently associated with impaired mechanical properties and a lower corrosion resistance. Thus, laser polishing (LP) is commonly employed to smooth the surface of the component following the build process. The present study proposes an integrated framework based on discrete element method (DEM) and computational fluid dynamics (CFD) simulations to predict the final surface morphology and roughness of L-PBF components following LP processing. The validity of the simulation model is confirmed by comparing the calculated mean surface roughness of the polished components (S_a) with the experimental values. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |