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Numerical Study of Temperature Distribution Control in Precision Glass Molding Furnace

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Abstract

In a precision glass molding process, glass preform is compressed at a high temperature well above its transition temperature and the temperature distribution inside plays an important role in determining the quality of final products. In this research, a 2D axisymmetric numerical heat transfer model, integrated with an innovative PID control subroutine, was employed for simulating the temperature control process and obtaining transient temperature distribution in the glass preform. Feasibility of this method was validated by experiments with good agreements. Finally, influence of air gap between glass preform and upper mold as well as temperature control mode were investigated. The results showed that temperature difference of the molds had a severer influence on the temperature distribution of glass preform with the decrease of air gap. In addition, a two-point control strategy was demonstrated as a valid method to improve the temperature uniformity in the glass preform.

Keywords

Heat transfer Numerical simulation PID control Precision glass molding 

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References

  1. 1.
    Yi, A. Y. and Jain, A., “Compression Molding of Aspherical Glass Lenses-A Combined Experimental and Numerical Analysis,” Journal of the American Ceramic Society, vol. 88, no. 3, pp. 579–586, 2005.CrossRefGoogle Scholar
  2. 2.
    Ju, J., Lim, S., Seok, J., and Kim, S.-m., “A Method to Fabricate Low-Cost and Large Area Vitreous Carbon Mold for Glass Molded Microstructures,” International Journal of Precision Engineering and Manufacturing, vol. 16, no. 2, pp. 287–291, 2015.CrossRefGoogle Scholar
  3. 3.
    Zhang, L., Liu, G., Zhao, X., Dambon, O., Klocke, F., and Yi, A., “Precision Molding of Optics: A Review of Its Development and Applications,” Proc. of SPIE, Vol. 9949, Paper No. 994906, 2016.Google Scholar
  4. 4.
    Dambon, O., Wang, F., Klocke, F., Pongs, G., Bresseler, B., et al., “Efficient Mold Manufacturing for Precision Glass Molding,” Journal of Vacuum Science & Technology B: Microelectronics and Nanometer Structures Processing, Measurement, and Phenomena, vol. 27, no. 3, pp. 1445–1449, 2009.CrossRefGoogle Scholar
  5. 5.
    Viskanta, R. and Lim, J. M., “Theoretical Investigation of Heat Transfer in Glass Forming,” Journal of the American Ceramic Society, vol. 84, no. 10, pp. 2296–2302, 2001.CrossRefGoogle Scholar
  6. 6.
    Höhne, D., Pitschel, B., Merkwitz, M., and Lobig, R., “Measurement and Mathematical Modelling of the Heat Transfer in the Glass Forming Process, in Consideration of the Heat Transfer Coefficients and Radiation Influences,” Glass Science and Technology, vol. 76, no. 6, pp. 309–317, 2003.Google Scholar
  7. 7.
    Choi, J.-H., Ha, D.-S., Kim, J.-B., and Grandhi, R. V., “Inverse Design of Glass Forming Process Simulation Using an Optimization Technique and Distributed Computing,” Journal of Materials Processing Technology, vol. 148, no. 3, pp. 342–352, 2004.CrossRefGoogle Scholar
  8. 8.
    Chen, Y., Allen, Y. Y., Su, L., Klocke, F., and Pongs, G., “Numerical Simulation and Experimental Study of Residual Stresses in Compression Molding of Precision Glass Optical Components,” Journal of Manufacturing Science and Engineering, vol. 130, no. 5, Paper No. 051012, 2008.Google Scholar
  9. 9.
    Yan, J., Zhou, T., Masuda, J., and Kuriyagawa, T., “Modeling High-Temperature Glass Molding Process by Coupling Heat Transfer and Viscous Deformation Analysis,” Precision Engineering, vol. 33, no. 2, pp. 150–159, 2009.CrossRefGoogle Scholar
  10. 10.
    Ostrouchov, C., Mosaddegh, P., and Musgraves, J., “A Combined Numerical and Experimental Approach to Measuring Gap Conductance for Precision Glass Molding,” Proc. of Proceeding of Materials Science and Technology Conference and Exhibition, pp. 1729–1736, 2011.Google Scholar
  11. 11.
    Sarhadi, A., Hattel, J. H., Hansen, H. N., Tutum, C. C., Lorenzen, L., and Skovgaard, P. M., “Thermal Modelling of the Multi-Stage Heating System with Variable Boundary Conditions in the Wafer Based Precision Glass Moulding Process,” Journal of Materials Processing Technology, vol. 212, no. 8, pp. 1771–1779, 2012.CrossRefGoogle Scholar
  12. 12.
    Zhou, J., Li, M., Hu, Y., Shi, T., Ji, Y., and Shen, L., “Numerical Evaluation on the Curve Deviation of the Molded Glass Lens,” Journal of Manufacturing Science and Engineering, vol. 136, no. 5, Paper No. 051004, 2014.Google Scholar
  13. 13.
    Dora Pallicity, T., Ramesh, K., Mahajan, P., and Vengadesan, S., “Numerical Modeling of Cooling Stage of Glass Molding Process Assisted by CFD and Measurement of Residual Birefringence,” Journal of the American Ceramic Society, vol. 99, no. 2, pp. 470–483, 2016.CrossRefGoogle Scholar
  14. 14.
    ANSYS, Inc., “ANSYS FLUENT Theory Guide,” Vol. 14.0, 2011.Google Scholar
  15. 15.
    Ogata, K. and Yang, Y., “Modern Control Engineering,” Englewood Cliffs, NJ: Prentice Hall, 2001Google Scholar
  16. 16.
    Dorcheh, A. S. and Abbasi, M., “Silica Aerogel; Synthesis, Properties and Characterization,” Journal of Materials Processing Technology, vol. 199, no. 1, pp. 10–26, 2008.CrossRefGoogle Scholar
  17. 17.
    Joo, S.-M., Bang, H.-S., Bang, H.-S., and Park, K.-S., “Numerical Investigation on Welding Residual Stress and Out-of-Plane Displacement during the Heat Sink Welding Process of Thin Stainless Steel Sheets,” International Journal of Precision Engineering and Manufacturing, vol. 17, no. 1, pp. 65–72, 2016.CrossRefGoogle Scholar

Copyright information

© Korean Society for Precision Engineering and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Precision Machinery and Precision InstrumentationUniversity of Science and Technology of ChinaHefei, AnhuiChina
  2. 2.Institute of TribologyHefei University of TechnologyHefei, AnhuiChina

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