Modeling the blow-blow forming process in glass container manufacturing / Giannopapa, C. G. in Transactions of the ASME . Journal of fluids engineering, Vol. 133 N° 2 (Fevrier 2011)  

Public ISBD [article]  inTransactions of the ASME . Journal of fluids engineering > Vol. 133 N° 2 (Fevrier 2011) . - 08 p. Titre : Modeling the blow-blow forming process in glass container manufacturing : a comparison between computations and experiments Type de document : texte imprimé Auteurs : Giannopapa, C. G., Auteur ; Groot, J. A. W. M., Auteur Année de publication : 2011 Article en page(s) : 08 p. Note générale : Fluids engineering Langues : Anglais (eng) Mots-clés : Forming processes Glass manufacture Vitrification Index. décimale : 620.1 Essais des matériaux. Défauts des matériaux. Protection des matériaux Résumé : The blow-blow forming process is a widely used technique in glass container manufacturing (e.g., production of glass bottles and jars). This process typically takes few seconds and is characterized by large deformations and temperature gradients. In the work of Giannopapa (2008, “Development of a Computer Simulation Model for Blowing Glass Containers,” ASME J. Manuf. Sci. Eng., 130, p. 041003), the development of a computer simulation model for glass blowing was presented and demonstrated on dummy problems with an initially uniform glass temperature. The objective of this paper is to extend and further develop the simulation model to be used for industrial purposes. To achieve this, both steps of the blow-blow forming process of glass containers are simulated and tested against real industrial problems. In this paper, a nonuniform temperature distribution is considered for the blowing of the preform, which is reconstructed from temperature data provided by the industry. The model is validated by means of several examples regarding conservation properties, behavior of the flow, and comparison of the glass thickness with experimental measurements. Furthermore, by means of these examples, the sensitivity of the glass thickness to inaccuracies in the measurement and reconstruction of the initial temperature distribution is verified. DEWEY : 620.1 ISSN : 0098-2202 En ligne : http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JFEGA400013 [...] [article] Modeling the blow-blow forming process in glass container manufacturing : a comparison between computations and experiments [texte imprimé] / Giannopapa, C. G., Auteur ; Groot, J. A. W. M., Auteur . - 2011 . - 08 p. Fluids engineering Langues : Anglais (eng) in Transactions of the ASME . Journal of fluids engineering > Vol. 133 N° 2 (Fevrier 2011) . - 08 p. Mots-clés : Forming processes Glass manufacture Vitrification Index. décimale : 620.1 Essais des matériaux. Défauts des matériaux. Protection des matériaux Résumé : The blow-blow forming process is a widely used technique in glass container manufacturing (e.g., production of glass bottles and jars). This process typically takes few seconds and is characterized by large deformations and temperature gradients. In the work of Giannopapa (2008, “Development of a Computer Simulation Model for Blowing Glass Containers,” ASME J. Manuf. Sci. Eng., 130, p. 041003), the development of a computer simulation model for glass blowing was presented and demonstrated on dummy problems with an initially uniform glass temperature. The objective of this paper is to extend and further develop the simulation model to be used for industrial purposes. To achieve this, both steps of the blow-blow forming process of glass containers are simulated and tested against real industrial problems. In this paper, a nonuniform temperature distribution is considered for the blowing of the preform, which is reconstructed from temperature data provided by the industry. The model is validated by means of several examples regarding conservation properties, behavior of the flow, and comparison of the glass thickness with experimental measurements. Furthermore, by means of these examples, the sensitivity of the glass thickness to inaccuracies in the measurement and reconstruction of the initial temperature distribution is verified. DEWEY : 620.1 ISSN : 0098-2202 En ligne : http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JFEGA400013 [...]

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