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Role of scan strategies on thermal gradient and solidification rate in electron beam powder bed fusion
- Source :
- Additive Manufacturing. 22:516-527
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
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.
- Subjects :
- 0209 industrial biotechnology
Fusion
Materials science
business.industry
Biomedical Engineering
02 engineering and technology
computer.file_format
021001 nanoscience & nanotechnology
Frame rate
Industrial and Manufacturing Engineering
Temperature gradient
020901 industrial engineering & automation
Optics
Heat transfer
Cathode ray
Trailing edge
General Materials Science
Boundary value problem
Raster graphics
0210 nano-technology
business
Engineering (miscellaneous)
computer
Subjects
Details
- ISSN :
- 22148604
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Additive Manufacturing
- Accession number :
- edsair.doi...........a01b17b3c0f9a62efb53308b823d0e2d
- Full Text :
- https://doi.org/10.1016/j.addma.2018.04.038