The quantitative enamel firing technique based on regression analysis
Yaqin Qian, Xiangdong Dai
TL;DR
This paper introduces a quantitative method for enamel firing using linear regression to determine optimal firing durations based on specimen mass.
Contribution
The study establishes a linear regression model for standardizing the historically qualitative enamel firing process.
Findings
Enamel specimen mass shows a real linear relationship with firing duration.
The regression equation successfully predicts optimal firing times for different enamel specifications.
Application of the model results in consistently high-quality enamel decorations.
Abstract
Enamel firing, as a key technique of enamel craftsmanship, has had no quantitative standards to follow since ancient times. To solve this problem, linear regression analysis was used to conduct quantitative enamel firing experiments. Through enamel firing experiments on enamel specimens with different masses, the linear regression equation was solved using the obtained experimental data and the regression equation was subjected to the analysis of variance. The experimental results indicate that the mass of enamel specimens has a real linear regression relationship with the firing duration. To verify the applicability of the linear regression equation, the equation was applied and validated. That is, enamel specimens with different specifications and colors were prepared, the firing durations of which were then calculated using the regression equation. The enamel specimens were fired…
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Taxonomy
TopicsConsumer Perception and Purchasing Behavior · 3D Shape Modeling and Analysis