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Volume 11 Issue 1
Feb.  2020
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WANG Jinliang, WANG Longjun. Research of melting temperature of the smelting slag of copper clad laminate scrap[J]. Nonferrous Metals Science and Engineering, 2020, 11(1): 46-50. DOI: 10.13264/j.cnki.ysjskx.2020.01.008
Citation: WANG Jinliang, WANG Longjun. Research of melting temperature of the smelting slag of copper clad laminate scrap[J]. Nonferrous Metals Science and Engineering, 2020, 11(1): 46-50. DOI: 10.13264/j.cnki.ysjskx.2020.01.008
shu

Research of melting temperature of the smelting slag of copper clad laminate scrap

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

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  • Received Date: October 07, 2019
  • Published Date: February 28, 2020
    Graphical Abstract
    • Abstract
  • Copper clad laminate scrap (CCLS) is a kind of electronic waste containing low iron and high boron. To get suitable melting temperature property for CCLS recycling process, 17 groups of slag samples were prepared by some chemical reagents, and the slag melting temperatures were measured using a RDS-2010 type intelligent test instrument for ash melting point by means of hemisphere point. Then, the mathematical formula between the melting temperature and the chemical composition of smelting slag were acquired by means of nonlinear regression analysis. The effects of the FeO content (w(Feo)), Fe3O4 content (w(Fe3O4)), Al2O3 content (w(Al2O3)), B2O3 content (w(B2O3)), CaO/SiO2 ratio (m(Cao)/m(SiO2)) on the slag melting temperatures were also studied based on regression equation. Results show that the melting temperatures calculated by the regression formula reproduce the experimental data in molten slag with high precision. The melting temperatures of CCLS smelting slag with high boron and low iron are less than1 100 ℃ with good melting property. The slag melting temperature ascends with increasing and, but descends with increasing, and. Especially, each factor has a significant effect on the slag melting temperature. The research results provide data support for green recycling of electronic waste.
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    • References (20)
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