Partitioning and diffusion of transition metal solutes in ternary model Ni-based single crystal superalloys.

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Title: Partitioning and diffusion of transition metal solutes in ternary model Ni-based single crystal superalloys.
Authors: Liu, Shaohua1, Wen, Minru2, Li, Zi3, Liu, Wenqing4, Yan, Ping5, Wang, Chongyu2,5 cywang@mail.tsinghua.edu.cn
Source: Materials & Design. Sep2017, Vol. 130, p157-165. 9p.
Subjects: Semiconductor diffusion, Transition metals spectra, Heat resistant alloys, Parallel algorithms, Transition metals
Abstract: Partitioning and diffusion of transition metal solutes can significantly affect the coarsening rate of γ′ precipitates in Ni-based single crystal superalloys. Using first-principles density-functional calculations and atom probe tomography, we investigated the partitioning coefficient and diffusion rate of 3d (Ti Ni), 4d (Zr Pd), and 5d (Hf Pt) transition metal solutes. For ternary model Ni-based single crystal superalloys, the 3d solutes (except Ti) partition to the matrix phase, whereas 4d and 5d solutes (except Ru, Rh, and Ir) prefer γ′ precipitates. The existing atom probe tomography results are consistent with the calculation results. Across the periodic table, middle-row elements have a higher (lower) diffusion activation energy (diffusion rate) than early and late row elements. The band-filling effect that is coupled with electronic structure analysis can explain the parabolic behavior of energetics that involves bond breaking. To minimize the coarsening rate, we have screened alloying elements that both have a low diffusion rate in the γ matrix and partition to the γ′ phase. These alloying elements will suppress the coarsening behavior of the precipitates and are expected to contribute to the stability of precipitates at elevated temperature. [ABSTRACT FROM AUTHOR]
Copyright of Materials & Design is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Partitioning and diffusion of transition metal solutes can significantly affect the coarsening rate of γ′ precipitates in Ni-based single crystal superalloys. Using first-principles density-functional calculations and atom probe tomography, we investigated the partitioning coefficient and diffusion rate of 3d (Ti Ni), 4d (Zr Pd), and 5d (Hf Pt) transition metal solutes. For ternary model Ni-based single crystal superalloys, the 3d solutes (except Ti) partition to the matrix phase, whereas 4d and 5d solutes (except Ru, Rh, and Ir) prefer γ′ precipitates. The existing atom probe tomography results are consistent with the calculation results. Across the periodic table, middle-row elements have a higher (lower) diffusion activation energy (diffusion rate) than early and late row elements. The band-filling effect that is coupled with electronic structure analysis can explain the parabolic behavior of energetics that involves bond breaking. To minimize the coarsening rate, we have screened alloying elements that both have a low diffusion rate in the γ matrix and partition to the γ′ phase. These alloying elements will suppress the coarsening behavior of the precipitates and are expected to contribute to the stability of precipitates at elevated temperature. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Materials & Design is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1016/j.matdes.2017.05.032
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      – Code: eng
        Text: English
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        PageCount: 9
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    Subjects:
      – SubjectFull: Semiconductor diffusion
        Type: general
      – SubjectFull: Transition metals spectra
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      – SubjectFull: Heat resistant alloys
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      – SubjectFull: Parallel algorithms
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            NameFull: Wen, Minru
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            NameFull: Yan, Ping
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              Text: Sep2017
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