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• W2811457660 abstract "Multi-modal precipitate distribution in the microstructure, with coarse precipitates pinning the grain boundaries and finer precipitates strengthening the matrix, is beneficial to suppress grain boundary sliding and dislocation creep, respectively, of structural materials. However, achievement of a multi-modal precipitate distribution remains a challenge in developing creep-resistant advanced Cu alloys while retaining high strength and high conductivity at elevated temperature. This work overcame this challenge with the aid of computational thermodynamics. Thermodynamic models for Gibbs energy functions of phases in the Cu-Cr-Nb-Zr system have been developed in this study. These models were then used to calculate solidification paths and phase equilibria at different temperatures, guiding the design of chemical composition and heat treatment parameters of novel copper alloys with a target multi-modal distribution of precipitates. The new alloy, fabricated through traditional ingot metallurgy method, has achieved the desired microstructure as validated by optical and transmission electron microscopy. Electrical conductivity and mechanical properties were screened and compared with the existing commercial Cu alloys." @default.
• W2811457660 created "2018-07-10" @default.
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• W2811457660 date "2018-10-01" @default.
• W2811457660 modified "2023-10-18" @default.
• W2811457660 title "Development of novel Cu-Cr-Nb-Zr alloys with the aid of computational thermodynamics" @default.
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• W2811457660 doi "https://doi.org/10.1016/j.matdes.2018.07.003" @default.
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