Abstract
Local microstructure control in electron beam powder bed fusion (EB-PBF) is of great interest to the additive manufacturing community to realize complex part geometry with targeted performance. The local microstructure control relies on having a detailed understanding of local melt pool physics (e.g., 3-D melt pool shape as well as spatial and temporal variations of thermal gradient (G) and solidification rate (R)). In this research, a new scan strategy referred to as ghost beam is numerically evaluated as a candidate to achieve the targeted G and R of IN718 alloy. The boundary conditions for simulations, including the speed (490 mm/s) and spatial locations of the beam within a given layer, are obtained by using series of snapshot images, recorded at 12,000 frames per second, using a high-speed camera. The heat transfer simulations were performed using TRUCHAS an open-source software deployed within a high-performance computational infrastructure. The simulation results showed that reheating at short beam on-time and time delay decreases both G and R. Local variation of R at the center of the melt pool trailing edge showed periodic temporal fluctuations. Finally, the ghost beam scan strategy was compared to other existing raster and spot scan strategies.
Original language | English |
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Pages (from-to) | 516-527 |
Number of pages | 12 |
Journal | Additive Manufacturing |
Volume | 22 |
DOIs | |
State | Published - Aug 2018 |
Bibliographical note
Publisher Copyright:© 2018
Funding
The research was sponsored by the US Department of Energy, Office of Energy Efficiency and Renewable Energy , Advanced Manufacturing Office under contract DE-AC05-00OR22725 with UT-Battelle, LLC.
Funders | Funder number |
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U.S. Department of Energy | |
Advanced Manufacturing Office | DE-AC05-00OR22725 |
Office of Energy Efficiency and Renewable Energy |
Keywords
- Additive manufacturing
- In-situ monitoring
- Melt pool
- Numerical simulation
- Scan strategy
- Solidification and remelting