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Journal articles on the topic 'Glass forehearths'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

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1

Drapała, Michał, and Witold Byrski. "Online continuous-time adaptive predictive control of the technological glass conditioning process." Archives of Control Sciences 32, no. 4 (2022): 755–82. https://doi.org/10.24425/acs.2022.143670.

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Glass production has a great industrial importance and is associated with many technological challenges. Control related problems concern especially the last part of the process, so called glass conditioning. Molten glass is gradually cooled down in a long ceramic channels called forehearths during glass conditioning. The glass temperature in each zone of the forehearth should be precisely adjusted according to the assumed profile. Due to cross-couplings and unmeasured disturbances, traditional control systems based on PID controllers, often do not ensure sufficient control quality. This probl
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2

Ensor, T. "Electrically heated forehearths in United Glass." Power Engineering Journal 2, no. 5 (1988): 239. http://dx.doi.org/10.1049/pe:19880043.

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3

Bartlett, H., and A. K. Kochhar. "A Self-Tuning Control Strategy for Gas-Fired Glass Forehearths." Proceedings of the Institution of Mechanical Engineers, Part B: Management and engineering manufacture 202, no. 3 (1988): 143–51. http://dx.doi.org/10.1243/pime_proc_1988_202_062_02.

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This paper describes how a self-tuning feedforward-feedback control strategy could be implemented on a three-zone forehearth as used in the manufacture of glass containers. Experimental results, based upon real operating data, are presented in order to evaluate the control algorithm. It is shown how an existing model of a forehearth zone can be modified by the introduction of a self-tuning parameter, which enables the model to predict the glass surface temperature from the exit of any forehearth zone. The proposed control strategy for one zone of the forehearth is then modified to incorporate
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4

Robb, Katherine, Jaydeep Kulkarni, Ashwini Kumar, Abhijit Dutta, and Eric W. Grald. "Numerical Simulation of the Draw Down Phenomenon in Glass Furnace Forehearths." International Journal of Forming Processes 7, no. 4 (2004): 497–510. http://dx.doi.org/10.3166/ijfp.7.497-510.

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5

Roychowdhury, A. P., and J. Srinivasan. "The modelling of radiation heat transfer in forehearths units in glass melting." Wärme- und Stoffübertragung 30, no. 2 (1994): 71–75. http://dx.doi.org/10.1007/bf00715012.

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6

Roychowdhury, A. P., and J. Srinivasan. "Effect of wall emissivities on radiation heat transfer in glass tank forehearths." Heat and Mass Transfer 31, no. 1-2 (1995): 11–15. http://dx.doi.org/10.1007/bf02537416.

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7

Choudhary, Manoj K. "Mathematical Modeling of Flow and Heat-Transfer Phenomena in Glass Furnace Channels and Forehearths." Journal of the American Ceramic Society 74, no. 12 (1991): 3091–99. http://dx.doi.org/10.1111/j.1151-2916.1991.tb04306.x.

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8

Choudhary, Manoj K. "Mathematical Modeling of Flow and Heat-Transfer Phenomena in Glass Furnace Channels and Forehearths." Journal of the American Ceramic Society 75, no. 4 (1992): 1038. http://dx.doi.org/10.1111/j.1151-2916.1992.tb04186.x.

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9

Vrábel, P., P. Šimurka, M. Maryška, P. Vl, and P. Schill. "Identification of cord sources in glass using CFD." Glass Technology: European Journal of Glass Science and Technology Part A 61, no. 5 (2020): 141–47. http://dx.doi.org/10.13036/17533546.61.5.vrabel.

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Cord appearance in the glass industry is a serious problem in high glass quality tableware production. The increased frequency of sharp cords provoked a serious analysis on cord origin and their elimination at the production line. Optical microscopy and electron microprobe analysis (EMA) were applied as direct methods for cord identification. A computational flow dynamics calculation (CFD) and process data analysis were used to verify the hypothesised source of the inhomogeneity. The hypothesis on origin of ZrO2 free cords containing high amounts of Al2O3 was postulated in relation to the refr
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10

Coupland, D. R., R. B. McGrath, J. M. Evens, and J. P. Hartley. "Progress in Platinum Group Metal Coating Technology, ACT™." Platinum Metals Review 39, no. 3 (1995): 98–107. http://dx.doi.org/10.1595/003214095x39398107.

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Refractory ceramics have long fonned a vital part of the glass making and glass processing industries. Due to market pressures these industries are moving towards increasingly higher quality products and progressively improved plant efficiency. However, significant improvements to the refractory ceramics are difficult because of the range of properties which they are required to have. This second paper on ACT™ (Advanced Coating Technology) using platinum group metals, describes the latest developments and advantages conferred by ACT™ coatings to the various ceramic forehearth components.
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11

Wang, Q., G. Chalaye, G. Thomas, and G. Gilles. "Knowledge-based Adaptive Generalized Predictive Control for a Glass Forehearth." IFAC Proceedings Volumes 25, no. 6 (1992): 157–62. http://dx.doi.org/10.1016/s1474-6670(17)50897-6.

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12

Aksel, Cemail, Marie Dexet, Nelly Logen, Frederic Porte, Frank L. Riley, and Franciszek Konieczny. "The influence of zircon in a model aluminosilicate glass tank forehearth refractory." Journal of the European Ceramic Society 23, no. 12 (2003): 2083–88. http://dx.doi.org/10.1016/s0955-2219(03)00025-6.

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13

"Introduction to ANSI/IEEE standard 668-1987: IEEE recommended practice for electrical heating applications to melting furnaces and forehearths in the glass industry." IEEE Transactions on Industry Applications 24, no. 4 (1988): 682–84. http://dx.doi.org/10.1109/28.6121.

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14

Byrski, Witold, Michal Drapala, and Jedrzej Byrski. "An adaptive identification method based on the modulating technique and exact state observers for modeling and simulation of a nonlinear MISO glass meting process." July 17, 2019. https://doi.org/10.2478/amcs-2019-0055.

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The paper presents new concepts of the identification method based on modulating functions and exact state observers with its application for identification of a real continuous-time industrial process. The method enables transformation of a system of differential equations into an algebraic one with the same parameters. Then, these parameters can be estimated using the least-squares approach. The main problem is the nonlinearity of the MISO process and its noticeable transport delays. It requires specific modifications to be introduced into the basic identification algorithm. The ma
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15

"022 Knowledge-based adaptive generalized predictive control for a glass forehearth." Control Engineering Practice 1, no. 5 (1993): 883. http://dx.doi.org/10.1016/0967-0661(93)90278-y.

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