4.6 Article

Process-Defect-Structure-Property Correlations During Laser Powder Bed Fusion of Alloy 718: Role of In Situ and Ex Situ Characterizations

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SPRINGER
DOI: 10.1007/s11661-018-4870-2

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  1. Applied Optimization, Inc. under the NASA STTR Phase II program [NNX15CA24C]
  2. US Department of Energy, Office of Energy, Efficiency, and Renewable Energy, Advanced Manufacturing Office [DE-AC05-00OR22725]
  3. Department of Energy, Office of Nuclear Energy, Fuel Cycle RD Program [FEI Talos F200X S/TEM]
  4. Nuclear Science User Facilities
  5. Department of Energy

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Components made by laser powder bed fusion (L-PBF) additive processes require extensive trial and error optimization to minimize defects and arrive at targeted microstructure and properties. In this work, in situ infrared thermography and ex situ surface roughness measurements were explored as methodologies to ensure Inconel (R) 718-part quality. For a given laser energy of 200 Watts, prismatic samples were produced with different exposure times (80 to 110 mu s) and point spacings (80 to 110 mu m). The infrared intensities from laser-material interaction zones were measured spatially and temporally. The conditions leading to higher IR intensity and lowest surface roughness values correlated well with less porosity and coarse solidification grain structure. The transition from highly columnar to misoriented growth is attributed to changes in thermal gradients and liquid-solid interface velocities. Hardness measurements and electron microscopy of the as-processed and post-processed heat-treated samples show complex transitions in microstructural states including the heavily dislocated FCC matrix, reduction of dislocation density, and copious precipitation, respectively. These results show that the geometry-process-structure-property correlations are dynamic, and they cascade depending on the transitions of phase states from powder to liquid to solid, as well as phase decompositions and deformations within the solid FCC phase. Validity of using analytical weld process models to describe the above phenomena is also highlighted. (C) The Minerals, Metals & Materials Society and ASM International 2018.

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