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Related Experiment Video

Updated: Nov 1, 2025

Convergent Polishing: A Simple, Rapid, Full Aperture Polishing Process of High Quality Optical Flats & Spheres
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Enhancing parameter design for full-aperture rapid planar polishing based on fuzzy optimization.

Mingchen Cao, Huiying Zhao, Ruiqing Xie

    Applied Optics
    |June 18, 2021
    PubMed
    Summary

    A novel fuzzy optimization method enhances rapid planar polishing (RPP) for optics. This approach integrates multiple objectives, improving both precision and productivity in high-power laser system manufacturing.

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    Area of Science:

    • Optics Manufacturing
    • Precision Engineering
    • Fuzzy Logic Applications

    Background:

    • Full-aperture rapid planar polishing (RPP) is crucial for high-power laser optics.
    • Traditional RPP methods are limited to single-objective optimization.
    • There is a need for methods that can simultaneously optimize multiple RPP parameters.

    Purpose of the Study:

    • To introduce a novel fuzzy optimization method for RPP.
    • To assess the precision and productivity of RPP using this new method.
    • To demonstrate the ability to combine multiple RPP objectives into a single indicator.

    Main Methods:

    • Developed a fuzzy optimization approach to integrate RPP objectives.
    • Selected material removal rate, uniformity, and a synthetical fuzzy indicator (SFIRPP) as key objectives.
    • Employed orthogonal design and semi-gamma distribution for experimental analysis and curve fitting.

    Main Results:

    • The fuzzy optimization method successfully combined multiple RPP objectives.
    • Optimized parameters using SFIRPP led to simultaneous improvements in manufacturing precision and productivity.
    • Experimental validation confirmed the effectiveness of the proposed fuzzy optimization strategy.

    Conclusions:

    • The proposed fuzzy optimization method offers a significant advancement for RPP.
    • This approach enables simultaneous optimization of precision and productivity in optics manufacturing.
    • Fuzzy optimization holds potential for enhancing the selection of optimal RPP parameters.