MATEC Web Conf.
Volume 382, 20236th International Conference on Advances in Materials, Machinery, Electronics (AMME 2023)
|Number of page(s)||6|
|Published online||26 June 2023|
Chemical composition and identification of glass products based on generalized linear model
College of Chemistry and Environment, Southwest Minzu University, Chengdu, 610041, China
* Corresponding author: email@example.com
Weathering will cause the proportion of chemical composition of ancient glass products to change, thereby affecting the classification judgment of glass type. In order to reasonably analyze the composition content of ancient glass products, this paper provides a reference for studying the content change trend of glass weathering by exploring whether the appearance of glass cultural relics affects the weathering trend and the weathering composition law. According to the relationship between glass surface weathering and ornamentation, color and glass type, a linear regression model is constructed, and in order to solve the problem of heteroscedasticity in the perturbation term, the OLS robust + standard error method is used to improve the model parameters. The results show that the ornaments are B and C and are more likely to weather, high potassium glass is easy to weather, the color is green is mostly unweathered glass, and the color is black There is a tendency to change to weathered glass. The lower the content of potassium oxide, iron oxide and alumina in high potassium, the easier it is to weather, the higher the silica content, the easier it is to weather, and the regularity of weathering and component content of lead barium compared with high potassium is not obvious.
Key words: linear regression model / glass weathering / high potassium / lead barium
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.