Steklo i Keramika (Glass and Ceramics). Monthly scientific, technical and industrial journal

 

ISSN 0131-9582 (Online)

  • Continuous numbering: 1009
  • Pages: 9-11
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Heading: Efficiency and quality

Models based on neural networks, describing the process of annealing a moving strip of sheet glass in a tunnel oven, have been developed. The problem of annealing temperature control is formulated. Simulation modeling shows the effectiveness of the control algorithm in comparison with manual control of the annealing process. The implementation of a decision support system for a production technologist is described. Tab. 1, ill. 2, bibliography: 2 titles.
O. N. Shamysheva ( This email address is being protected from spambots. You need JavaScript enabled to view it. ), Dr. RI Makarov ( This email address is being protected from spambots. You need JavaScript enabled to view it. ); Vladimir State University A.G. and N.G. Stoletovs (Russia, Vladimir)
Makarov R.I., Khorosheva E.R., Lukashin S.A.Automation of sheet glass production. Moscow: ASV Publishing House, 2002. 192 S. Osovsky S. Neural networks for information processing / per. from Polish I. D. Rudinsky. Moscow: Finance and Statistics, 2004.344 p.

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Use the reference below to cite the publication

O. N. Shamysheva and R. I. Makarov Control of a float glass annealing. Steklo i keramika. 2012:85(1):9-11. (in Russ). UDK 62-51:661.1