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- W2352336698 abstract "The TC4 alloy prepared by continuous variable cross-section recycled extrusion was compressed by the Gleeble-3500 simulation machine. The test temperature is 750-950 ℃,the strain rate is 0. 001-10 s- 1,and the deformation is 60%. The constitutive equations of the fine grain TC4 alloy prepared by continuous variable cross-section recycled extrusion were established by Arrhenius equation and artificial neural network,and the constitutive equations were based on the stress-strain curves of the experiment. Moreover,the correlation degree and the relative error between the prediction data and experimental data of two kinds of constitutive equations were also calculated.The results show that the prediction data of artificial neural network is more precise,which is more suitable for the numerical simulation of flow stress of the fine grain TC4 alloy prepared by continuous variable cross-section recycled extrusion." @default.
- W2352336698 created "2016-06-24" @default.
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- W2352336698 date "2015-01-01" @default.
- W2352336698 modified "2023-09-23" @default.
- W2352336698 title "Comparision on two kinds of constitutive model for fine grain TC4 titanium alloy" @default.
- W2352336698 hasPublicationYear "2015" @default.
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