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Related Experiment Video

Updated: Jun 8, 2026

Sample Preparation in Quartz Crystal Microbalance Measurements of Protein Adsorption and Polymer Mechanics

Sample Preparation in Quartz Crystal Microbalance Measurements of Protein Adsorption and Polymer Mechanics

Published on: January 22, 2020

Parametric smoothing model for visco-elastic polishing tools.

Dae Wook Kim¹, Won Hyun Park, Hyun Kyoung An

¹College of Optical Sciences, University of Arizona, 1630 E University Blvd, Tucson, Arizona 85721, USA. letter2dwk@hotmail.com

|October 14, 2010

Summary

This summary is machine-generated.

A new parametric smoothing model quantifies polishing tool efficiency for precision optics. This model, using a normalized smoothing factor (SF), accurately predicts surface error correction for visco-elastic materials.

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Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing

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Area of Science:

Materials Science
Optical Engineering
Manufacturing Processes

Background:

Precision optics manufacturing requires efficient surface error correction.
Visco-elastic materials in polishing tools conform to workpieces but resist short-duration impacts.
Existing methods lack quantitative descriptions of the smoothing action.

Purpose of the Study:

To develop a parametric smoothing model for visco-elastic polishing tools.
To quantitatively describe the smoothing action and its effect on surface errors.
To improve the efficiency of finishing large precision optics.

Main Methods:

Developed a parametric smoothing model with a normalized smoothing factor (SF).
Conducted experiments using conventional pitch tools and rigid conformal (RC) laps.
Measured limiting minimum ripple magnitude (PVmin) and SF function slope changes.

Main Results:

The parametric smoothing model accurately describes the smoothing action of visco-elastic polishing tools.
Experimental data verified the linear trend of the SF function.
Measured parameters like PVmin and SF slope changes were successfully fit by the model.

Conclusions:

The developed parametric smoothing model provides a quantitative understanding of polishing efficiency.
The model enables optimization of polishing processes for large precision optics.
The normalized smoothing factor (SF) is a key parameter for predicting and controlling surface finish.