Potential Method to Distinguish Copper Molten Marks Using Boundary and Grain Characteristics

被引:2
|
作者
Park, Jinyoung [1 ]
Kang, Joo-Hee [2 ]
Jang, Hyo-Sun [2 ]
Ko, Young Ho [3 ]
Bang, Sun Bae [1 ]
机构
[1] Korea Elect Safety Corp Res Inst, 111 Anjeon Ro, Wanju Gun 55365, Jeollabuk Do, South Korea
[2] Korea Inst Mat Sci, 797 Changwon Daero, Changwon Si 51508, Gyeongsangnam D, South Korea
[3] Jeonbuk Natl Univ, 567 Baekje Daero, Jeonju Si 54896, Jeollabuk Do, South Korea
基金
新加坡国家研究基金会;
关键词
molten mark; primary-arc bead; secondary-arc bead; electron-backscatter diffraction; Sigma; 3; boundary; grain size; machine learning;
D O I
10.3390/ma15134534
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The microstructure of molten marks changes according to ambient temperatures, when a short circuit occurs. Investigation of microstructural changes is important for understanding the properties of copper and examining the cause of a fire. In this study, the boundary characteristics and grain-size distribution of molten marks-primary-arc beads (PABs), which short-circuited at room temperature (25 degrees C), and secondary-arc beads (SABs), which short-circuited at high temperatures (600 degrees C, 900 degrees C)-were compared using electron backscatter diffraction. The distribution of Sigma 3 boundaries was compared, and it was found that SABs have a higher fraction of Sigma 3 boundaries than PABs. Moreover, it was confirmed that the ratio of maximum grain size (area) to the total area of the molten mark in SABs is larger than that in PABs. Thus, reliable discriminant factors were suggested, such as the fraction of Sigma 3 boundaries and normalized maximum grain size, which can distinguish PABs and SABs. The four discriminant factors, such as the (001)//LD, GAR, fraction of Sigma 3 boundaries, and fraction of maximum grain size to the total molten-mark area, were verified using the machine learning of t-SNE and Pearson correlation analyses.
引用
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页数:14
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