Probabilistic distribution model of grain boundary α phase length in titanium alloys

Huizhi Peng; Wan Ye; Jianwen Liu; Shun Wu; Yichi Zhang; Yichi Zhang; Yuman Zhu; Alberto Boretti; Aijun Huang

doi:10.1016/j.jmrt.2025.05.087

Journal of Materials Research and Technology (May 2025)

Probabilistic distribution model of grain boundary α phase length in titanium alloys

Huizhi Peng,
Wan Ye,
Jianwen Liu,
Shun Wu,
Yichi Zhang,
Yichi Zhang,
Yuman Zhu,
Alberto Boretti,
Aijun Huang

Affiliations

Huizhi Peng: Monash Centre for Additive Manufacturing, Monash University, Notting Hill, VIC, 3168, Australia; Department of Materials Science and Engineering, Monash University, Clayton, VIC, 3800, Australia; Corresponding author. Monash Centre for Additive Manufacturing, Monash University, Notting Hill, VIC, 3168, Australia.
Wan Ye: Monash Centre for Additive Manufacturing, Monash University, Notting Hill, VIC, 3168, Australia; Department of Materials Science and Engineering, Monash University, Clayton, VIC, 3800, Australia
Jianwen Liu: Monash Centre for Additive Manufacturing, Monash University, Notting Hill, VIC, 3168, Australia; Department of Materials Science and Engineering, Monash University, Clayton, VIC, 3800, Australia
Shun Wu: Institute of Metallic Materials and Intelligent Manufacturing, School of Iron and Stell, SooChow University, Suzhou, 2125137, PR China
Yichi Zhang: Department of Materials Science and Engineering, Monash University, Clayton, VIC, 3800, Australia
Yichi Zhang: Department of Materials Science and Engineering, Monash University, Clayton, VIC, 3800, Australia
Yuman Zhu: Monash Centre for Additive Manufacturing, Monash University, Notting Hill, VIC, 3168, Australia; Department of Materials Science and Engineering, Monash University, Clayton, VIC, 3800, Australia
Alberto Boretti: Monash Centre for Additive Manufacturing, Monash University, Notting Hill, VIC, 3168, Australia; Department of Materials Science and Engineering, Monash University, Clayton, VIC, 3800, Australia
Aijun Huang: Monash Centre for Additive Manufacturing, Monash University, Notting Hill, VIC, 3168, Australia; Department of Materials Science and Engineering, Monash University, Clayton, VIC, 3800, Australia; Corresponding author. Monash Centre for Additive Manufacturing, Monash University, Notting Hill, VIC, 3168, Australia.

DOI: https://doi.org/10.1016/j.jmrt.2025.05.087
Journal volume & issue: Vol. 36
pp. 8860 – 8864

Abstract

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The grain boundary α phase (GB-α) is a crucial microstructure feature in many titanium alloys, significantly impacting their mechanical properties and performance in various applications. This work developed a probabilistic model for GB-α phase. In this model, the size of individual GB-α precipitates and centre-to-centre distance between nearby precipitates are defined by lognormal distributions. Then, considering the physical process of GB-α formation involving nucleation, growth, linkage, and coarsening, a probabilistic distribution was derived for GB-α lengths using the law of total probability. Validation across various heat-treated Ti–6Al–2Sn–4Zr–6Mo samples confirms that the GB-α lengths follow the proposed distribution. Additionally, based on limited characterization inputs, the probabilities of GB-α having specific lengths are predicted by our model within an error margin of 4 %. Furthermore, this model is extended to the size of crept-induced voids in Inconel 718 superalloy, demonstrating its potential applicability to microstructure features governed by similar physical process.

Published in Journal of Materials Research and Technology

ISSN: 2238-7854 (Print); 2214-0697 (Online)
Publisher: Elsevier
Country of publisher: Netherlands
LCC subjects: Technology: Mining engineering. Metallurgy
Website: https://www.journals.elsevier.com/journal-of-materials-research-and-technology/

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