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- W3036179991 abstract "Understanding the hot deformation behaviors of materials has a great importance in hot working and shaping for promoting their industrial application. In this study, a Ti-based metallic glassy matrix composite was employed to study the deformation behaviors in supercooled liquid region at strain rates of 10−4/s - 10−2/s by compression tests. The stress-strain curves were composed of the overshoot behavior attributed by the glassy matrix and the work-hardening behavior caused by the dendrite phase. The nanocrystals generated within the glass matrix during hot compression deformation. The experimental data with variables of the strain rate, strain and temperature were employed to build a back-propagation artificial neural network with AdaGrad algorithm. The model’s accuracy and reliability were evaluated by examining the correlation coefficient, average absolute relative error, root mean square error and relative error. It was found that this model predicted result is consistent with the experimental data, providing a powerful approach for describing the hot deformation behaviors and working of MGMCs at high temperature." @default.
- W3036179991 created "2020-06-25" @default.
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- W3036179991 date "2020-12-01" @default.
- W3036179991 modified "2023-10-09" @default.
- W3036179991 title "Study on deformation behavior in supercooled liquid region of a Ti-based metallic glassy matrix composite by artificial neural network" @default.
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- W3036179991 doi "https://doi.org/10.1016/j.jallcom.2020.155761" @default.
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