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基于BP神經(jīng)網(wǎng)絡(luò)的TC6鈦合金富氧α層厚度與熱暴露溫度、時(shí)間關(guān)系預(yù)報(bào)
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Relationship Prediction between the Thickness of Oxygen-enriched α Layer, Thermal Exposure Temperature and Holding Time for TC6 Titanium Alloy Based on BP Neural Network
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    摘要:

    將TC6鈦合金經(jīng)過(guò)不同熱暴露工藝處理后，測(cè)得其富氧α層的厚度。利用BP人工神經(jīng)網(wǎng)絡(luò)建立富氧α層的厚度與熱暴露工藝(熱暴露溫度、保溫時(shí)間)之間的關(guān)系網(wǎng)絡(luò)模型。結(jié)果表明：所建的模型可以很好的預(yù)報(bào)不同熱暴露工藝下富氧α層厚度，而且還可以通過(guò)富氧α層厚度得到最優(yōu)的熱暴露工藝。建立了富氧α層厚度為50 μm熱暴露工藝臨界圖以便指導(dǎo)生產(chǎn)實(shí)踐。

    Abstract:

    A series of thickness of oxygen-enriched α layer were obtained after TC6 titanium alloy were treated with different thermal exposure processing (thermal exposure temperature, holding time). Their relationship network model was built by BP artificial neural network. The results show that the built model can be used for the prediction of the thickness of oxygen-enriched α layer of TC6 titanium alloy under different thermal exposure treatments. Meanwhile, the model can also serve as a guide for the heat treatment of TC6 titanium alloy if the thickness is given.

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羅連波,朱景川,劉 勇,陳志旋.基于BP神經(jīng)網(wǎng)絡(luò)的TC6鈦合金富氧α層厚度與熱暴露溫度、時(shí)間關(guān)系預(yù)報(bào)[J].稀有金屬材料與工程,2014,43(4):946~950.[Luo Lianbo, Zhu Jingchuan, Liu Yong, Chen Zhixuan. Relationship Prediction between the Thickness of Oxygen-enriched α Layer, Thermal Exposure Temperature and Holding Time for TC6 Titanium Alloy Based on BP Neural Network[J]. Rare Metal Materials and Engineering,2014,43(4):946~950.]
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  • 收稿日期:2013-04-11
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  • 在線發(fā)布日期: 2014-07-30
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