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Modeling the High Temperature Deformation Constitutive Relationship of TC4-DT Alloy Based on Fuzzy-neural Network
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National Natural Science Foundation of China (50824001)

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    Abstract:

    By analyzing the high temperature TC4-DT titanium alloys’ deformation temperature, strain rate and deformation degree with the parameters of the experimental data flow stress, an adaptive fuzzy-neural network model has been established to predict flow st

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[Tang Bo, Tang Bin, Li Jinshan, Zhang Fengshou, Yang Guanjun. Modeling the High Temperature Deformation Constitutive Relationship of TC4-DT Alloy Based on Fuzzy-neural Network[J]. Rare Metal Materials and Engineering,2013,42(7):1347~1351.]
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  • Received:July 25,2012
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