Skip to main navigation Skip to search Skip to main content

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

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

Research output: Contribution to journalArticlepeer-review

26   Link opens in a new tab Citations (SciVal)

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 statusPublished - 31 Dec 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

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. 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).\u00A0The authors also appreciate the comments from Professor David StJohn on an early version of the manuscript. 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. 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). The authors also appreciate the comments from Professor David StJohn on an early version of the manuscript.

FundersFunder number
RMIT Microscopy & Microanalysis Facility
Royal Melbourne Institute of Technology
ARCDP220101501
RMIT UniversityDE210101503

    Fingerprint

    Dive into the research topics of 'Compositional criteria to predict columnar to equiaxed transitions in metal additive manufacturing'. Together they form a unique fingerprint.

    Cite this