Document Type

Poster

Publication Date

2024

Abstract

This research work investigates the relationship between Laser Powder Bed Fusion (L-PBF) process parameters and resulting microstructural properties in over 600 Kovar (Fe-29Ni-17Co) alloy specimens, fabricated using 304 unique sets of L-PBF process parameters. While Kovar is widely utilized in various industries for its unique material properties, the intricacies of how L-PBF processing conditions influence its final microstructural characteristics remain largely unexplored, presenting a critical gap in the additive manufacturing knowledge base. We have explored the effects of hatch spacing, exposure time, laser power, and scan speed on resulting grain characteristics. Electron Backscatter Diffraction (EBSD) analysis data of these samples was employed to quantitatively determine the microstructural properties, including grain size, crystallographic orientation, and morphology. To overcome the challenge of unindexed EBSD data points, techniques that selectively apply grain reconstruction based on unindexed point cluster size were used, enabling more comprehensive and accurate microstructural property statistics. The study aimed to develop a predictive model for microstructural properties based on L-PBF parameter settings. The findings provide valuable insights into the precise manipulation of process parameters to achieve desired microstructural properties in additively manufactured Kovar parts, advancing the field of metal additive manufacturing.

Publication Title

Data Science in Engineering and Life Sciences Symposium

Rights

© The Author(s)

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