Role of scan strategies on thermal gradient and solidification rate in electron beam powder bed fusion

Y. S. Lee, M. M. Kirka, R. B. Dinwiddie, N. Raghavan, J. Turner, R. R. Dehoff, S. S. Babu

Research output: Contribution to journalArticlepeer-review

74 Scopus citations

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 languageEnglish
Pages (from-to)516-527
Number of pages12
JournalAdditive Manufacturing
Volume22
DOIs
StatePublished - 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.

FundersFunder number
U.S. Department of Energy
Advanced Manufacturing OfficeDE-AC05-00OR22725
Office of Energy Efficiency and Renewable Energy

    Keywords

    • Additive manufacturing
    • In-situ monitoring
    • Melt pool
    • Numerical simulation
    • Scan strategy
    • Solidification and remelting

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