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Modeling the High Temperature Deformation Constitutive Relationship of TC4-DT Alloy Based on Fuzzy-neural Network
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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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    摘要:

    通过分析研究变形温度、应变速率及变形程度参数对TC4-DT钛合金高温变形行为的影响,建立了一种基于自适应模糊神经网络的TC4-DT钛合金高温变形本构关系预测模型。高温变形热模拟压缩试验的变形温度为750 ~1150 ℃,应变率为0.001~10 s –1,试样高度压缩率为50%。本研究中建立

    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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唐 波,唐 斌,李金山,张丰收,杨冠军. Modeling the High Temperature Deformation Constitutive Relationship of TC4-DT Alloy Based on Fuzzy-neural Network[J].稀有金属材料与工程,2013,42(7):1347~1351.[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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  • 收稿日期:2012-07-25
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