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Academic Journal of Materials & Chemistry, 2023, 4(4); doi: 10.25236/AJMC.2023.040408.

A study of the composition of glass products based on multiple linear regression


Jianbo Han, Mingyue Li, Anan Lu, Wenbo Song, Lingyi Taishi

Corresponding Author:
Jianbo Han

Tianjin University of Science and Technology, Tianjin, 300450, China


Ancient glass is highly susceptible to weathering by the burial environment, and during the weathering process, its composition ratios change. In order to grasp the pattern of compositional changes in the weathering of ancient glass products, this paper will analyse data on the characteristics of different glass products and the proportions of their chemical composition, discuss the relationships between the factors and promote the development of China's glass manufacturing industry. In this study, for the question of the relationship between weathering and type, decoration and color on the surface of glass, a chi-square test was used to calculate significant p-values of 0.0201, 0.0565 and 0.5066 in that order, and the following conclusions were obtained: there is a significant difference between weathering and type on the surface of glass products, and there is no significant difference with decoration and color; for the statistical pattern of the content of chemical components on the surface of cultural relic samples with or without weathering For the problem of predicting the content of chemical components before weathering, the data were divided into four categories based on the presence or absence of weathering and the type of glass, with silica content as the dependent variable and the rest of the chemical components as independent variables, and a multiple linear regression model was used to find the statistical law. The difference between the mean values of high potassium glass and lead-barium glass before and after weathering was used to predict the pre-weathering chemical content of the weathering points.


Multiple linear regression, Classification of glass products, Chemical composition

Cite This Paper

Jianbo Han, Mingyue Li, Anan Lu, Wenbo Song, Lingyi Taishi. A study of the composition of glass products based on multiple linear regression. Academic Journal of Materials & Chemistry (2023) Vol. 4, Issue 4: 46-49. https://doi.org/10.25236/AJMC.2023.040408.


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