Download file (4.74MB)
Download as zip (4.13MB)

コレクション

引用

説明:

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.

権利情報:

• Creative Commons BY Attribution 4.0 International
  Creative Commons BY Attribution 4.0 International

キーワード: Ni-Al alloy, γ-γ′two-phase, Phase field simulation, Image analysis

刊行年月日: 2023-01-16

出版者:

掲載誌:

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

研究助成金:

• 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”)

原稿種別: 出版者版 (Version of record)

MDR DOI:

公開URL: https://doi.org/10.1016/j.matdes.2023.111631

関連資料:

その他の識別子:

連絡先:

更新時刻: 2024-01-05 22:11:39 +0900

MDRでの公開時刻: 2023-02-01 11:29:03 +0900