Author(s)

Yifan Yuan ¹, Shitong Li ¹, Yiqing Huang ¹

Affiliation(s)

¹ College of Machinery and Transportation, Southwest Forestry University, Kunming, Yunnan, 650224, China

Corresponding Author

Yifan Yuan

ABSTRACT

Ancient glass preserved in a burial environment for a long time will weather, which in turn leads to changes in its chemical composition and proportion. In this paper, we analyzed the relationship between surface weathering and glass type, ornamentation and color, and used the statistical principles related to statistics to draw statistical graphs to find out the statistical pattern of the presence or absence of chemical composition content on the surface of the artifact samples; established a regression prediction model and used MATLAB software to calculate and predict the chemical composition content of this batch of ancient glass before weathering; solved the problem of dividing the subclasses of two glass types, high potassium glass, and lead-barium glass, and used K-mean clustering method and spectral clustering method for cluster analysis, determined the chemical composition indexes for the division, and the approximate range of values for the division, derived specific division methods and results, and finally analyzed the reasonableness and sensitivity of the results.

KEYWORDS

Glass products; Chemical composition content; Regression prediction; Sensitivity analysis

CITE THIS PAPER

Yifan Yuan, Shitong Li, Yiqing Huang, Study the Chemical Composition Content of Ancient Glass Products before Weathering. Analytical Chemistry: A Journal (2022) Vol. 1: 54-60. DOI: http://dx.doi.org/10.23977/analc.2022.010107.

REFERENCES

[1] Shoukui Si, Xiqing Sun, Mathematical Modeling Algorithms and Applications, Beijing: National Defense Industry Press, 2021.4.
[2] Chen G.Y., Zhang Z.H., Chen L., et al. Study on the effect of calcium base on the melting characteristics of coal ash [J]. Boiler Technology, 2009, 40(3): 10-14.
[3] Lu, W.C. Research on insurance policy renewal prediction based on logistic regression model [D]. Heilongjiang: Harbin Engineering University, 2017.
[4] Gao W.X., Liu S., Xiao Z.Y.. Lightning bifurcation process algorithm optimization for K-means clustering [J]. Operations Research and Management, 2021, 30(12): 35-41.
[5] Zhang Liangjun, Yang Tan, Xiao Gang, MATLAB data analysis and mining in practice, Beijing: Machinery Industry Press, 2015. 6.

Sponsors, Associates, and Links

---

• Forging and Forming
  
  
• Composites and Nano Engineering
  
  
• Journal of Materials, Processing and Design
  
  
• Metallic foams
  
  
• Smart Structures, Materials and Systems
  
  
• Chemistry and Physics of Polymers
  
  
• Modern Physical Chemistry Research
  
  
• Inorganic Chemistry: A Journal
  
  
• Organic Chemistry: A Journal
  
  
• Progress in Materials Chemistry and Physics
  
  
• Transactions on Industrial Catalysis
  
  
• Fuels and Combustion
  
  
• Casting, Welding and Solidification
  
  
• Journal of Membrane Technology
  
  
• Journal of Heat Treatment and Surface Engineering
  
  
• Trends in Biochemical Engineering
  
  
• Ceramic and Glass Technology
  
  
• Transactions on Metals and Alloys
  
  
• High Performance Structures and Materials
  
  
• Rheology Letters
  
  
• Plasticity Frontiers
  
  
• Corrosion and Wear of Materials
  
  
• Fluids, Heat and Mass Transfer
  
  
• International Journal of Geochemistry
  
  
• Diamond and Carbon Materials
  
  
• Advances in Magnetism and Magnetic Materials
  
  
• Advances in Fuel Cell
  
  
• Journal of Biomaterials and Biomechanics