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Optimized Sealing Process and Real-Time Monitoring of Glass-to-Metal Seal Structures

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Numerical optimization platform for precision glass molding by the simplex algorithm.

Weidong Liu, Liangchi Zhang

|April 22, 2017

Summary

This summary is machine-generated.

This study introduces a numerical optimization platform for precision glass molding (PGM) to reduce residual stress and improve lens shape accuracy. The developed method enhances optical product quality beyond traditional ultra-precision machining.

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Area of Science:

Materials Science
Optical Engineering
Computational Mechanics

Background:

Precision glass molding (PGM) offers efficient fabrication of complex optical components like aspherical lenses.
Current PGM limitations include thermally induced residual stresses and deviations in lens shape post-molding.
These issues hinder the widespread application and quality consistency of PGM-fabricated optics.

Purpose of the Study:

To develop a numerical optimization platform for PGM.
To mitigate residual stresses and minimize lens shape derivation during the molding process.
To enhance the overall quality of molded optical products.

Main Methods:

Development of a numerical optimization platform integrating a simplex algorithm and finite element simulation.
Optimization of the cooling process to manage thermal stresses.
Implementation of die shape compensation to correct lens form deviations.

Main Results:

The platform effectively reduces residual stress in molded lenses via optimized cooling strategies.
Lens shape derivation is significantly minimized through precise die shape compensation.
The developed platform demonstrably improves the quality of PGM lenses.

Conclusions:

The numerical optimization platform overcomes key limitations in PGM technology.
PGM lenses manufactured using this optimized process exhibit superior quality compared to those from ultra-precision machining.
This advancement broadens the applicability and enhances the reliability of precision glass molding for optical fabrication.