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A Numerical Model to Reduce Thermal Residual Stress During Cooling and Annealing Process of Large Optical Glass Production

[+] Author Affiliations
Yefeng Ma, Nan Wu, Song Zhang, Lili Zheng, Hui Zhang

Tsinghua University, Beijing, China

Paper No. HT2013-17142, pp. V003T09A005; 6 pages
doi:10.1115/HT2013-17142
From:
  • ASME 2013 Heat Transfer Summer Conference collocated with the ASME 2013 7th International Conference on Energy Sustainability and the ASME 2013 11th International Conference on Fuel Cell Science, Engineering and Technology
  • Volume 3: Gas Turbine Heat Transfer; Transport Phenomena in Materials Processing and Manufacturing; Heat Transfer in Electronic Equipment; Symposium in Honor of Professor Richard Goldstein; Symposium in Honor of Prof. Spalding; Symposium in Honor of Prof. Arthur E. Bergles
  • Minneapolis, Minnesota, USA, July 14–19, 2013
  • Conference Sponsors: Heat Transfer Division
  • ISBN: 978-0-7918-5549-2
  • Copyright © 2013 by ASME

abstract

Optical glass has been widely used in optical device manufacturing due to its high degree of physical and chemical homogeneity, which is considered as one of most important indicators of optical performance. Thermal stress during production has a significant impact on the optical homogeneity of the glass and it is primarily generated from temperature difference at different parts of the glass during annealing process which includes coarse and fine phases. Accumulation of thermal residual stress at early cooling stage will not only cause the cracking of the glass during process, but also affect the following fine annealing, especially, for the symmetric pattern of stress distribution. This paper focuses on mitigating of radiation influence and controlling cooling rate during coarse annealing in order to reduce thermal residual stress in the process. Numerical models are established to simulate the coarse process and investigate the homogeneity of temperature distribution at different conditions. Simulation results show that the coarse annealing process can be optimized through changing glass configuration and cooling rate.

Copyright © 2013 by ASME

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