Article Virtual heat treatment for γ-γ′ two-phase Ni-Al alloy on the materials Integration system, MInt

Toshio Osada SAMURAI ORCID (National Institute for Materials ScienceROR) ; Toshiyuki Koyama (Nagoya University) ; Dmitry S. Bulgarevich SAMURAI ORCID (National Institute for Materials ScienceROR) ; Satoshi Minamoto SAMURAI ORCID (National Institute for Materials ScienceROR) ; Makoto Osawa (National Institute for Materials ScienceROR) ; Makoto Watanabe SAMURAI ORCID (National Institute for Materials ScienceROR) ; Kyoko Kawagishi SAMURAI ORCID (National Institute for Materials ScienceROR) ; Masahiko Demura SAMURAI ORCID (National Institute for Materials ScienceROR)

Collection

Citation
Toshio Osada, Toshiyuki Koyama, Dmitry S. Bulgarevich, Satoshi Minamoto, Makoto Osawa, Makoto Watanabe, Kyoko Kawagishi, Masahiko Demura. Virtual heat treatment for γ-γ′ two-phase Ni-Al alloy on the materials Integration system, MInt. MATERIALS & DESIGN. 2023, 226 (111631), 1-14.
SAMURAI

Description:

(abstract)

Aiming to designing the aging heat treatment conditions to maximize the 0.2 % proof stress of γ-γ′ two-phase Ni-based superalloys, we develop the automated computational workflow for γ-γ′ two-phase Ni-Al binary alloy that serves at the system foundation. This consists of phase-field (PF) simulation, image analysis, and mechanical property prediction with the design of input and output data ports. The workflow is implemented on the Materials Integration system (MInt), which computationally links process, structure, property, and performance. Users may calculate any patterns in heat treatment scheduling for Ni-Al alloys, with various Al contents, by allowing MInt to conduct the workflow. First, MInt conducts multiple parallel runs of the PF simulation to generate statistically sound datasets. Subsequently, MInt extracts statistics of various microstructure/phase-geometrical/composition attributes by image analysis. Finally, it predicts the proof stress according to the reported superposition of multiple strengthening models. The established computational workflow provides an in-depth understanding of the effect of aging conditions on alloy strength, which is favorable for optimizing process.

Rights:

Keyword: Ni-Al alloy, γ-γ′two-phase, Phase field simulation, Image analysis

Date published: 2023-01-17

Publisher:

Journal:

  • MATERIALS & DESIGN (ISSN: 02613069) vol. 226 issue. 111631 p. 1-14

Funding:

  • Council for Science, Technology, and Innovation (CSTI) (Funding agency: JST) (Cross-ministerial Strategic Innovation Promotion Program (SIP), ‘‘Materials Integration for revolutionary design system of structural materials”)

Manuscript type: Publisher's version (Version of record)

MDR DOI:

First published URL: https://doi.org/10.1016/j.matdes.2023.111631

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Updated at: 2024-01-05 22:11:39 +0900

Published on MDR: 2023-02-01 11:29:03 +0900

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