About this Abstract |
Meeting |
2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
|
Symposium
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2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
|
Presentation Title |
Establishing a Machine-Agnostic Energy Density Model for Laser, Powder-blown Directed Energy Deposition |
Author(s) |
Samantha Webster, Jihoon Jeong, Jian Cao |
On-Site Speaker (Planned) |
Samantha Webster |
Abstract Scope |
Laser powder-blown directed energy deposition (LP-DED) is an additive manufacturing process that utilizes a coaxial powder nozzle and laser to melt metal powders onto a substrate in a line-by-line fashion. This coupling gives rise to interactions between the laser, powder, and melt pool. Processing maps of individual parameters as well as energy density are typically correlated with the presence of defects (e.g., pores, cracks) to identify appropriate processing windows or optimal build conditions. While these solutions have been successful in their individual experiments, it is difficult to compare results from different machines since each has a different laser and powder flow distribution. In this study an analytical energy density model is presented that accounts for different laser and powder distributions as well as their alignment. Coaxial CCD imaging and clad cross sections are used to validate the model and connect melt pool volume to energy density. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |