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ISSN：1674-9669
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CODEN YJKYA9
Volume 12 Issue 5
Oct.  2021
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DONG Yuehua, MAN Jingjin, WANG Zhigang, WANG Hang. Corrosion resistance prediction model of copper-nickel BFe10-1-1 alloy based on grain-boundary image[J]. Nonferrous Metals Science and Engineering, 2021, 12(5): 61-68. DOI: 10.13264/j.cnki.ysjskx.2021.05.008
Citation: DONG Yuehua, MAN Jingjin, WANG Zhigang, WANG Hang. Corrosion resistance prediction model of copper-nickel BFe10-1-1 alloy based on grain-boundary image[J]. Nonferrous Metals Science and Engineering, 2021, 12(5): 61-68. DOI: 10.13264/j.cnki.ysjskx.2021.05.008
shu

Corrosion resistance prediction model of copper-nickel BFe10-1-1 alloy based on grain-boundary image

  • a.

    School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi, China

  • b.

    Faculty of Materials Metallurgy and Chemistry, Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi, China

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  • Received Date: April 04, 2021
  • Published Date: October 30, 2021
    Graphical Abstract
    • Abstract
  • The grain-boundary characteristic distribution of copper-nickel BFe10-1-1 alloy determines its corrosion resistance. In order to adjust the grain-boundary characteristic distribution to improve its corrosion resistance, the grain-boundary characteristic distribution of BFe10-1-1 copper-nickel alloy with different Y content was analyzed by electron backscattered diffraction (EBSD). Based on the connectivity and triple junction of grain-boundary, a numerical calculation method of grain-boundary image features was proposed, and a corrosion resistance prediction model of copper-nickel BFe10-1-1 alloy was established. The characteristics of grain-boundary image and its effect on corrosion resistance of the alloy were studied by simulated seawater corrosion experiment. The results showed that the better the connectivity of grain-boundary was, the worse corrosion resistance of BFe10-1-1 copper-nickel alloy was. Too many triple junctions would increase the proportion of grain-boundary, which deteriorated the corrosion resistance of the alloy. Compared with the first two, the angle distribution in the triple junction had a greater impact on the corrosion resistance of the alloy. The accuracy of the corrosion resistance prediction model was 81.88 %, and the predicted values of the model agreed with the real values of corrosion resistance.
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    • References (28)
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