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Numerical Simulation of Heat Transfer for the Gob Delivery System in Glass Container Production

[+] Author Affiliations
X. J. Liu, G. S. Frost, S. A. Austin

Emhart Glass Research, Inc., Windsor, CT

M. R. Hyre

Virginia Military Institute, Lexington, VA

Paper No. IMECE2008-66675, pp. 569-576; 8 pages
doi:10.1115/IMECE2008-66675
From:
  • ASME 2008 International Mechanical Engineering Congress and Exposition
  • Volume 10: Heat Transfer, Fluid Flows, and Thermal Systems, Parts A, B, and C
  • Boston, Massachusetts, USA, October 31–November 6, 2008
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-4871-5 | eISBN: 978-0-7918-3840-2
  • Copyright © 2008 by ASME

abstract

Heat transfer is extremely important in glass container production since the physical properties of the glass are greatly affected by temperature. The change of glass properties in the production process needs to be closely monitored and controlled to produce high quality containers. The delivery system, which transports glass from feeder to the blank mold of the IS machine, contains the scoop, trough and deflector. It is the first place in the delivery system that molten glass inside feeder is brought into contact with a much colder environment on the delivery equipment. Recent developments in numerical techniques and computing capabilities enable the 3-dimensional free surface simulation of a gob of molten glass in the delivery system. In this study, a finite element method implemented by the computational fluid dynamics package Polyflow from ANSYS is used to track the large free surface deformations of a glass gob during the transport from the feeder to the blank mold. The capability to apply a user defined function allows the effect of varying heat transfer between the contact surface of gob and delivery equipment to be analyzed. A contact algorithm coupled with a Lagrangian remeshing scheme is applied to detect the interface between the molten glass gob and delivery equipment. The heat transfer profile is further studied by using a Fluent model for the equipment and comparing the resultant temperature profiles with measured field data. Better understanding of the delivery system can help manufacturers improve process control and facilitate equipment adjustment to produce containers with consistent loading that leads to increased productivity and reduced defects.

Copyright © 2008 by ASME

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