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基于BP神經(jīng)網(wǎng)絡和3D加工圖的Ti2041合金的熱變形行為研究
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南昌航空大學 航空制造工程學院

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國家自然科學基金項目（面上項目，重點項目，重大項目）


Study on the hot deformation behavior of Ti2041 alloy based on BP neural network and 3D processing map
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National Natural Science Foundation of China

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    摘要:

    通過熱壓縮實驗研究了Ti2041合金的流動行為。利用BP神經(jīng)網(wǎng)絡建立的合金本構模型，具有較高的精度，其相關系數(shù)達到0.99613，平均相對誤差為4.498%，預測值偏差在10%以內(nèi)的數(shù)據(jù)點達92.98%。在實驗數(shù)據(jù)的基礎上，研究了應變速率敏感因子、功率耗散和失穩(wěn)參數(shù)。建立了加工圖，通過加工圖的預測和顯微組織觀察，失穩(wěn)區(qū)主要為局部流動（650~775℃/0.056~1s-1）和機械失穩(wěn)（825~900℃/0.056~1s-1），穩(wěn)定區(qū)的變形機制主要為動態(tài)再結晶。結果表明：合適的變形參數(shù)為：變形溫度760~825℃/825~900℃，應變速率0.001~0.01s-1/0.0032~0.056s-1。

    Abstract:

    The flow behavior of Ti2041 alloy was studied through hot compressive experiments. The constitutive model of alloy established by back propagation (BP) neural network has high accuracy, which correlation coefficient reached 0.99613, the average relative error is 4.498%, the predictive value of deviation within 10% data points up to 92.98%. Based on the experimental data, the strain rate sensitivity, the power dissipation and the instability parameter were investigated. Processing maps were established. Through processing map prediction and microstructure observation, the instability zones are mainly flow localization(650~775℃/0.056~1s-1) and mechanical instability (825~900℃/0.056~1s-1), and the deformation mechanism of the stability zone is mainly dynamic recrystallization. It is found that the optimal deformation parameters are that: deformation temperature760~825℃/825~900℃, strain rate 0.001~0.01s-1 /0.0032~ 0.056s-1.

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周璇,王克魯,魯世強,李鑫.基于BP神經(jīng)網(wǎng)絡和3D加工圖的Ti2041合金的熱變形行為研究[J].稀有金屬材料與工程,2021,50(4):1233~1240.[Zhou Xuan, Wang Kelu, Lu Shiqiang, Li Xin. Study on the hot deformation behavior of Ti2041 alloy based on BP neural network and 3D processing map[J]. Rare Metal Materials and Engineering,2021,50(4):1233~1240.]
DOI：10.12442/j. issn.1002-185X.20200303

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  • 收稿日期:2020-05-09
  • 最后修改日期:2020-06-08
  • 錄用日期:2020-06-09
  • 在線發(fā)布日期: 2021-05-08
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