Nucleation burst in additively manufactured Inconel 718: 3D characterization of ISRO-induced equiaxed microstructure

Cazic, I.; Zollinger, Julien; Engstler, M.; Ghanbaja, Jaâfar; Schenk, Thomas; Kandaoui, Maxime El; Appolaire, Benoît

doi:10.1016/j.addma.2023.103458

Cited by 2 publications

(2 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Microstructures are often complex, featuring non-convex grain shapes that can only be described using voxel grids, which are not suitable for standard, conformal meshing. This complexity is also observed in the studies [19,20], where polycrystal images are obtained from EBSD data. In contrast, geometric models, like Voronoi or Laguerre tessellations, can be described in a concise, scalar manner using sets of points, lines, surfaces, and volumes [21,22].…”

Section: Introductionmentioning

confidence: 62%

Three-Dimensional Columnar Microstructure Representation Using 2D Electron Backscatter Diffraction Data for Additive-Manufactured Haynes®282®

Zaikovska,

Ekh,

Moverare

2024

Materials

View full text Add to dashboard Cite

This study provides a methodology for exploring the microstructural and mechanical properties of the Haynes®282® alloy produced via the Powder Bed Fusion-Electron Beam (PBF-EB) process. Employing 2D Electron Backscatter Diffraction (EBSD) data, we have successfully generated 3D representations of columnar microstructures using the Representative Volume Element (RVE) method. This methodology allowed for the validation of elastic properties through Crystal Elasticity Finite Element (CEFE) computational homogenization, revealing critical insights into the material behavior. This study highlights the importance of accurately representing the grain morphology and crystallographic texture of the material. Our findings demonstrate that created virtual models can predict directional elastic properties with a high level of accuracy, showing a maximum error of only ~5% compared to the experimental results. This precision underscores the potential of our approach for predictive modeling in Additive Manufacturing (AM), specifically for materials with complex, non-homogeneous microstructures. It can be concluded that the results uncover the intricate link between microstructural features and mechanical properties, underscoring both the challenges encountered and the critical need for the accurate representation of grain data, as well as the significance of achieving a balance in EBSD area selection, including the presence of anomalies in strongly textured microstructures.

show abstract

Section: Introductionmentioning

confidence: 62%

Three-Dimensional Columnar Microstructure Representation Using 2D Electron Backscatter Diffraction Data for Additive-Manufactured Haynes®282®

Zaikovska,

Ekh,

Moverare

2024

Materials

View full text Add to dashboard Cite

show abstract

“…Among the materials used in the aerospace industry, Inconel 718 is one of the most successful advanced alloys, which has attracted a large number of studies over the years [6,7]. Recently, the production of Inconel 718 using LMD-W showed promising results as large zones of fine equiaxed grains were found at the bottom of the melt pools in the remelting regions of each layer [8][9][10]. As previously reported by the authors [9], the equiaxed grains form from an ISRO (Icosahedral Short-Range Order) mediated nucleation mechanism, which induces a significant reduction in grain size and an increase in grains with a twinning orientation relationship.…”

Section: Introductionmentioning

confidence: 99%