Composition analysis of glass products based on correlation analysis

Authors

  • Xin Xu
  • Di Shao
  • Mengqi Lu
  • Hong Zhang

DOI:

https://doi.org/10.54097/hset.v33i.5261

Keywords:

Pearson correlation coefficient, mapping, grey correlation analysis, component prediction

Abstract

The main raw material of glass is quartz sand, and the main chemical composition is silica (SiO2). Due to the high melting point of pure quartz sand, in order to reduce the melting temperature, it is necessary to add flux in refining. The main chemical composition varies with the flux added. By comparing the chemical composition statistics of high-potassium glass and lead-barium glass before and after weathering, it is found that SiO2 content of high-potassium glass increases after weathering, while lead-barium glass increases after weathering. The content of SiO2 decreased after weathering. From the mapping relationship before and after weathering, the content of each chemical component before differentiation was calculated. The correlation of chemical components between high potassium and lead and barium glasses can be seen by Pearson correlation coefficient. By grey correlation analysis, it can be seen that lead oxide and barium oxide are the main factors to distinguish the two types of glass. Lead barium contains more lead oxide and barium oxide than high potassium, and high potassium contains more potassium oxide than lead barium.

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Published

21-02-2023

How to Cite

Xu, X., Shao, D., Lu, M., & Zhang, H. (2023). Composition analysis of glass products based on correlation analysis. Highlights in Science, Engineering and Technology, 33, 59-64. https://doi.org/10.54097/hset.v33i.5261