Glass product processing technology optimization method based on component data analysis

By calculating the correlation coefficients between the chemical components and performance indicators of the finished glass sample, a multi-objective optimization model was constructed, which solved the problem that traditional empirical methods could not adjust the process parameters, and achieved performance adjustment of borosilicate glass products for different usage scenarios, improving the Product performance adaptability.

CN119249697AActive Publication Date: 2025-01-03SIHONG JINHUI GLASS PROD CO LTD
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Patent Information

Application Number
CN202411236067.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-04
Publication Date
2025-01-03
Estimated Expiration
2044-09-04

AI Technical Summary

Technical Problem

Traditional empirical methods cannot adjust process parameters in a timely and accurate manner for borosilicate glass products in different usage scenarios, resulting in their performance being unable to meet diverse needs.

Method used

By obtaining the quantitative evaluation value of chemical composition content, processing process parameters and performance indicators of finished glass samples, calculating the correlation coefficient between chemical components and performance indicators, screening key components, and building a multi-objective optimization model to adjust process parameters and components By proportion, a borosilicate glass product that meets specific performance requirements is prepared.

Benefits of technology

The process parameters and chemical components of borosilicate glass products are adjusted according to different usage scenarios and performance requirements, and the process parameters and chemical components are prepared to meet the requirements are improved, which improves the targetedness and accuracy of the process.

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Abstract

The invention discloses a glass product processing technology optimization method based on component data analysis, and relates to the technical field of glass product processing. The method comprises the following steps: calculating a correlation coefficient of quantitative evaluation values of chemical components and performance indexes in a glass finished product sample by obtaining quantitative evaluation values of chemical component contents, processing technological parameters and performance indexes in the processing process of the glass finished product sample; and screening the chemical components of which the absolute values of the correlation coefficients of the chemical component contents and the quantitative evaluation values of the performance indexes are in the range of [0.6, 1] as performance influence components, and taking the obtained performance influence components and the processing technological parameters as optimization variables of the target optimization performance indexes, a multi-target optimization model of the target optimization performance indexes is constructed, the optimal value of each optimization variable is obtained through model calculation, and related process parameters and chemical components can be adjusted in a targeted manner according to different use scenes and performance requirements, so that borosilicate glass products meeting the requirements are prepared.
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Citation Information

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