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A new method for detecting surface defects on curved reflective optics using normalized reflectivity.

Hui-Lin Du¹, Wen-Hao Zhang¹, Bing-Feng Ju¹

¹State Key Laboratory of Fluid Power and Mechatronics Systems, Zhejiang University, Hangzhou 310027, China.

The Review of Scientific Instruments

|April 9, 2020

Summary

This summary is machine-generated.

A new method detects surface defects in reflective optics using normalized reflectivity from chromatic confocal profilers. This technique enhances quality control without requiring additional specialized equipment.

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Area of Science:

Optics and Materials Science
Metrology and Quality Control

Background:

Surface defect detection is crucial for the quality assurance of reflective optical components.
Current methods may require specialized equipment or complex procedures.

Purpose of the Study:

To introduce a novel, non-destructive method for detecting surface defects in reflective optics.
To leverage normalized reflectivity derived from chromatic confocal microscopy for defect identification.

Main Methods:

Scanning reflective optic surfaces to capture signal intensity data using a chromatic confocal surface profiler.
Modeling intensity data to compute a normalized local reflectivity map.
Applying threshold segmentation to the reflectivity map for defect extraction.

Main Results:

Successfully demonstrated the feasibility of the normalized reflectivity method on an aluminum-coated concave reflector with artificial defects.
The method effectively distinguishes between defect areas and normal surface regions.
The technique integrates defect detection capabilities into existing optical surface profilers.

Conclusions:

The proposed normalized reflectivity method offers an effective and equipment-light solution for surface defect detection in reflective optics.
This approach can be readily implemented with current optical metrology instrumentation.
Enhances quality control processes for reflective optical elements.