About this Abstract |
Meeting |
MS&T24: Materials Science & Technology
|
Symposium
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Additive Manufacturing Modeling, Simulation, and Machine Learning: Microstructure, Mechanics, and Process
|
Presentation Title |
Melt Pool Geometry Analysis of a Ti-W Gradient Material Using In-Situ Monitoring and FEA in a DED AM System |
Author(s) |
Matthew M. Dolde, Fatih Sikan, Maria J. Quintana, Peter C. Collins |
On-Site Speaker (Planned) |
Matthew M. Dolde |
Abstract Scope |
Understanding meltpool morphology and geometry of AM materials has proven to be an effective tool for optimizing processing parameters. Optical monitoring of the meltpool during the directed-energy-deposition additive manufacturing of a Ti-W functionally graded material (using a custom-built system), along with a finite element model can be combined to understand and predict the processing parameters for a stable (consistent) meltpool. The finite element model was validated with post-deposition analysis of the meltpool using optical microscopy techniques and image analysis software, of the various samples obtained by changing laser power, raster scanning speed, and composition (from 0 to 8%wt. W). |