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Published on: January 26, 2016
Prediction of optical fiber coating thickness
A Panoliaskos1, W L Hallett, I Garis
1University of Ottawa, Department of Mechanical Engineering, Ottawa, Ontario K1N 6N5.
Applied Optics
|August 1, 1985
Summary
This study models optical fiber coating thickness based on fluid dynamics, predicting outcomes from draw velocity, pressure, and resin viscosity. The analysis accurately forecasts coating thickness, validated by experimental data.
Area of Science:
- Materials Science
- Fluid Dynamics
- Optical Engineering
Background:
- Accurate optical fiber coating thickness is crucial for performance.
- Existing models may not fully capture the interplay of key process variables.
Purpose of the Study:
- To develop a simple fluid dynamics model for optical fiber coating.
- To predict coating thickness based on draw velocity, pressure, and resin viscosity.
- To assess the impact of surface tension and viscous heating.
Main Methods:
- A simplified fluid dynamics analysis was performed.
- The model considered a cylindrical coating die.
- Predictions were compared against experimental data.
Main Results:
- The analysis successfully predicted optical fiber coating thickness.
- Key variables influencing thickness include draw velocity, coating cup pressure, and resin viscosity.
- Surface tension and viscous heating effects were evaluated.
Conclusions:
- The developed fluid dynamics model provides good predictions for optical fiber coating thickness.
- The model offers a practical tool for optimizing the coating process.

