Class classification of glass products based on K-means clustering
DOI:
https://doi.org/10.54097/hset.v43i.7442Keywords:
K-means, Clustering, Glass Category, Sensitivity Analysis.Abstract
The main raw material of glass is quartz sand, due to the high melting point of pure quartz sand, to reduce the melting temperature, it is necessary to add fluxes during refining. Different fluxes are added, and their main chemical composition is also different. To accurately classify high potassium glass and lead-barium glass, this paper establishes a K-means clustering model to classify glass types. High potassium glasses were classified into three subclasses by the content of iron oxide and barium oxide and lead barium glasses were classified into three subclasses by the content of magnesium oxide and barium oxide. Sensitivity analysis was performed on the model and the results remained significantly correlated.
Downloads
References
Fu XiuFeng, Gan FuXi. A study on the composition of a group of ancient glass from southern and southwestern China based on multivariate statistical analysis[J]. Conservation and Archaeological Science, 2006, (04): 6 - 13.
Gan FuXi, Cheng HuanSheng, Li QingHui. The Origin of Ancient Chinese Glass - A Study of the Earliest Ancient Glass in China [J]. Chinese Science (Series E: Technical Sciences), 2007 (03): 382 - 391.
Yang Bo, Xu ZM, Liu JX. Research on YOLOv4-based impurity glass sorting detection [J]. Advances in Laser and Optoelectronics, 2022, 59 (18): 322 - 328.
Jiang Linzen, Fan Xiaowei, Liu Xiangdong. A study on the initial values of K-means clustering algorithm [J]. Computer Knowledge and Technology, 2022, 18 (11): 95 - 97. DOI:10.14004/ j.cnki.ckt. 2022.0698.
Chen Songlin. Exploring the research and application of standard substances for glass composition analysis [J]. China Petroleum and Chemical Standard and Quality, 2022, 42 (23): 135 - 137.
Zhang Liyan, Li Hong, Chen Shubin, Li Zhongyan, Ruan Tiachi, Xue Tianfeng, Qian Min, Fan Sijun. Simulation methods for the composition and properties of glass [J]. Journal of Silicates, 2022, 50 (08): 2338 - 2350. DOI: 10.14062/j.issn.0454 - 5648.20220115.
X. P. Dai, J.Q. Zhu, S.L. Huang, Y.B. Chen, C.C. Tang. Quantitative analysis of complex glass compositions by X-ray fluorescence spectrometry [J]. Glass Fiber, 2021 (03): 11 - 14. DOI: 10.13354/j.cnki.cn32 - 1129/tq.2021.03.003.
Duan Y. Shuai. Construction of vehicle driving conditions based on principal component analysis and K-means clustering [J]. Software Guide, 2022, 21 (05): 175 - 180.
Chen Zhuang, Jia Chenghe, Jiang Hong. Classification of convenient sticker microscopic confocal laser Raman spectra based on principal component analysis and K-means [J]. Journal of the Chinese People's Public Security University (Natural Science Edition),2022, 28 (03): 9 - 14.
Liu Yanpeng, Zhu Lixin, Ma Shengming, Duan Jilin, Gong Qiuli. Constituent data theory and unsupervised clustering K-means method for extracting background and anomaly information--an example of Zhaogikou Pb-Zn deposit in Anhui Province [J]. Journal of Geology, 2022, 96 (11): 4038 - 4055. DOI: 10. 19762/j.cnki.dizhixuebao.2022088.
Chen Songlin. Exploring the research and application of standard substances for glass composition analysis [J]. China Petroleum and Chemical Standard and Quality, 2022, 42 (23): 135 - 137.
Zhang Liyan, Li Hong, Chen Shubin, Li Zhongyan, Ruan Tiachi, Xue Tianfeng, Qian Min, Fan Sijun. Simulation methods for the composition and properties of glass [J]. Journal of Silicates, 2022, 50 (08): 2338 - 2350. DOI: 10.14062/j.issn.0454 - 5648.20220115.
Ren Yubo, Wen Rui, Xian Yiheng, Zhang Cui Min. Chemical composition and production process of glass ear dangles excavated from Yingchengzi Han tomb [J]. DOI: 10.16334/j.cnki.cn31-1652/k.20210101995.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
