Compositional criteria to predict columnar to equiaxed transitions in metal additive manufacturing

Ryan Brooke, Duyao Zhang, Dong Qiu, Mark A. Gibson, Mark Easton

Research output: Contribution to journalArticlepeer-review

Abstract

Predicting the columnar to equiaxed transition (CET) and grain refinement for additively manufactured alloys from thermodynamic databases has been a long-standing challenge and an ongoing source of discussion. Efforts are focused on designing alloy compositions to achieve fully equiaxed microstructures, thereby eliminating the mechanical anisotropy commonly associated with the large columnar grains in additively manufactured alloys. Here, three compositional parameters proposed in the literature are evaluated across a range of Ti alloys: the non-equilibrium solidification range (ΔTs), the growth restriction factor (Q) and constitutional supercooling parameter (P). Ti-Fe, Ti-Cu, Ti-Cu-Fe, and Ti-Mo alloys produced via direct energy deposition experimentally verified that P is the most reliable parameter to guide the selection of alloying elements for additively manufactured (AM) alloys. Verification was found by reconsidering results from additional alloy systems and AM methods. The numerical CET models also predict that P is closely related to dendrite tip undercooling at high growth velocities, as found in AM. This work provides a clearer framework for predicting the grain morphology of metallic alloys in AM.
Original languageEnglish
Article number5710
JournalNature Communications
Volume16
Issue number1
Early online date1 Jul 2025
DOIs
Publication statusE-pub ahead of print - 1 Jul 2025

Data Availability Statement

The data generated in this study is available in the source data and supplementary data. EBSD data is available from the corresponding authors upon request. Source data are provided with this paper.

Acknowledgements

The authors acknowledge the facilities and the scientific and technical assistance of the RMIT Advanced Manufacturing Precinct (AMP) and the RMIT Microscopy & Microanalysis Facility (RMMF) at RMIT University.
The authors also appreciate the comments from Professor David StJohn on an early version of the manuscript.

Funding

D.Z. acknowledges the support of the ARC-DECRA grant (Grant number: DE210101503). D.Q. and M.E. appreciate the financial support of the ARC Discovery grant (Grant number: DP220101501).

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