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

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Evaluation of optical glass composition by optimization methods.

K S Krishna, A Sharma

|November 10, 2010

Summary

This summary is machine-generated.

A new method accurately calculates optical glass composition from known properties like density and dispersion coefficients. This technique, based on the Huggins-Sun-Davis model, aids in developing new optical materials and graded-index profiles.

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Area of Science:

Materials Science
Glass Science
Optical Engineering

Background:

Optical glass properties are determined by composition, as explained by models like Huggins-Sun-Davis (HSD).
Existing methods for determining glass composition from properties can be complex.

Purpose of the Study:

To develop a novel, efficient technique for calculating optical glass composition.
To utilize known glass properties (dispersion coefficients, density) for composition determination.

Main Methods:

Employed a modified Huggins-Sun-Davis (HSD) model.
Utilized a damped-least-squares method with Lagrange multipliers for constrained optimization.
Developed an iterative scheme with a high convergence rate.

Main Results:

The new technique successfully determined realistic composition values for commercial optical glasses.
The method demonstrated a high rate of convergence, indicating robustness.
The technique is easily programmable and computationally efficient.

Conclusions:

The developed method provides a powerful tool for optical glass characterization.
This technique facilitates graded-index profile computations.
It aids in the design and formation of novel optical glasses.