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An optimization algorithm and its application for predicting elemental concentrations of sublattices of γ' phase in Ni base superalloys |
YAN Guangzong; PENG Zhifang |
Department of Materials Engineering; College of Power and Mechanical Engineering; Wuhan University; Wuhan 430072 |
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Cite this article:
YAN Guangzong; PENG Zhifang. An optimization algorithm and its application for predicting elemental concentrations of sublattices of γ' phase in Ni base superalloys. Acta Metall Sin, 2005, 41(3): 251-254 .
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Abstract The effects of mismatch in atomic size and electronegativity of
alloying elements on the elemental concentration of sublattices
of γ' phase in Ni base superalloys were
investigated. The mathematic model of optimizations was
established to predict the elemental
concentration of sublattices of γ'
phase. Ranges of the selected values of concentration variables
were determined by use of the iterative and substitutional method.
Based on chemical compositions of the γ' phase,
the elemental content at the Ni and Al sites in the γ'phase can be calculated with
the layered multi-objective optimization algorithm with tolerance.
Using the reported data on both
the chemical compositions and the lattice parameters of γ'
phase, a comparison between the predicted and the reported values
of lattice parameters was made through the application of the
predicted values of the elemental concentrations of the γ'sublattices to verify the feasibility and the
accuracy of the present method.
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Received: 09 May 2004
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