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Related Experiment Video

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Convergent Polishing: A Simple, Rapid, Full Aperture Polishing Process of High Quality Optical Flats & Spheres
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Parametric removal rate survey study and numerical modeling for deterministic optics manufacturing.

Vipender Singh Negi, Harry Garg, Shravan Kumar Rr

    Optics Express
    |September 10, 2020
    PubMed
    Summary

    Precision optics fabrication relies on controlled material removal rate (MRR) to fix surface errors. Spot size and active diameter are key parameters for optimizing MRR in polishing processes.

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    Area of Science:

    • Optical Engineering
    • Materials Science
    • Manufacturing Processes

    Background:

    • Surface errors in optical systems degrade contrast and resolution.
    • Precision optics fabrication requires deterministic removal of surface figure errors.
    • Controlled material removal rate (MRR) is crucial for correcting these errors.

    Purpose of the Study:

    • To systematically map the material removal rate (MRR) space in precision optics fabrication.
    • To evaluate and understand the influence of various parameters on MRR.
    • To identify key parameters for optimizing the polishing process.

    Main Methods:

    • Experimental evaluation and mapping of MRR using a flexible membrane-polishing tool.
    • Numerical analysis employing a tool influence function model and distributed MRR-based Preston's constant.
    • Design of experiments using Taguchi's L27 orthogonal array with five control parameters.

    Main Results:

    • Systematic mapping of the MRR space was achieved.
    • Experimental data and numerical analysis provided evaluated removal rates.
    • Analysis of variance identified spot size and active diameter as the most significant parameters for higher MRR.

    Conclusions:

    • Spot size and active diameter are critical control parameters for achieving higher material removal rates in precision optics polishing.
    • The study provides referenceable survey data for optimizing MRR.
    • The methodology enables deterministic removal of surface errors to improve optical system performance.