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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:

    通過分析研究變形溫度、應(yīng)變速率及變形程度參數(shù)對TC4-DT鈦合金高溫變形行為的影響，建立了一種基于自適應(yīng)模糊神經(jīng)網(wǎng)絡(luò)的TC4-DT鈦合金高溫變形本構(gòu)關(guān)系預(yù)測模型。高溫變形熱模擬壓縮試驗的變形溫度為750 ~1150 ℃，應(yīng)變率為0.001~10 s –1，試樣高度壓縮率為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,張豐收,楊冠軍. Modeling the High Temperature Deformation Constitutive Relationship of TC4-DT Alloy Based on Fuzzy-neural Network[J].稀有金屬材料與工程,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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