Chapter 13. Mixing Model Simulation of an On-the-Fly Glass Conversion

  1. Charles H. Drummond III
  1. Richard Bergman

Published Online: 26 MAR 2008

DOI: 10.1002/9780470294536.ch13

59th Conference on Glass Problems: Ceramic Engineering and Science Proceedings, Volume 20, Issue 1

59th Conference on Glass Problems: Ceramic Engineering and Science Proceedings, Volume 20, Issue 1

How to Cite

Bergman, R. (1999) Mixing Model Simulation of an On-the-Fly Glass Conversion, in 59th Conference on Glass Problems: Ceramic Engineering and Science Proceedings, Volume 20, Issue 1 (ed C. H. Drummond), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470294536.ch13

Author Information

  1. Corning Incorporated, Corning, New York

Publication History

  1. Published Online: 26 MAR 2008
  2. Published Print: 1 JAN 1999

ISBN Information

Print ISBN: 9780470375617

Online ISBN: 9780470294536

SEARCH

Keywords:

  • glass conversion;
  • mixing model simulation;
  • conversion response;
  • continuous-production furnace;
  • laplace transforms

Summary

The glass composition in a large continuous-production furnace was changed by altering the batch composition during normal operation. There were no previous data from this furnace mat could be used for predicting the conversion response. It was critical that the conversion be done optimally to ensure timely production of the new gloss. The approach for this conversion was to do a tracer study on the furnace and then fit a mixing model to the tracer response. The next step was to use the mixing model to predict an optimal conversion strategy. A glass melting process is typically simulated by a combination of ideal mixers in series and a plug flow to simulate the minimum residence time. However, it was believed that there was a significant “stagnation zone” in this process mat could not be adequately simulated by ideal mixers in series. This paper will discuss the development of a mixing model with a stagnation zone and its application to an actual process. Suggestions on how the model can be most effectively employed to general situations will be offered.