Statistical quality control of laminated windshields during bending was performed. Parameter deviations of the articles from technical specifications were uncovered. A logistic regression model was constructed to determine the probability of obtaining high-quality laminated automobile glass as a function of the bending regime. It was shown that logistic regression is effective for on-line inspection of laminated windshields and in making decisions concerning bending regime adjustments.
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R. I. Makarov and E. R. Khorosheva, “Sag bending control in the production of automobile windshields,” Steklo Keram., Nî. 12, 13 – 14 (2017); R. I. Makarov and E. R. Khorosheva, “Sag bending control in the production of automobile windshields,” Glass Ceram., 74(11 – 12), 432 – 433 (2018).
R. I. Makarov, E. V. Suvorov, V. V. Tarbeev, and E. R. Khorosheva, Information Technologies in Quality Control of Automobile Glass [in Russian], Izd. Vladirmirsk. Gos. Universiteta, Vladimir (2010).
The Practice of Building Logistic Regression Models [electronic version]; URL: http://www.statmethods.ru/stati/152-modelilogisticheskoj-regressii.html?tmpl=component&print=1&layout=default&page=/ (access date March 14, 2019).
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Translated from Steklo i Keramika, No. 6, pp. 3 – 4, June, 2019.
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Makarov, R.I., Khorosheva, E.R. Automation of On-Line Quality Control of Laminated Glass. Glass Ceram 76, 201–202 (2019). https://doi.org/10.1007/s10717-019-00165-8
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DOI: https://doi.org/10.1007/s10717-019-00165-8