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Optimal planning with multiple collaborative processing analysis in atmospheric pressure plasma processing for

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    Summary
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    This study introduces a new method for optimizing the fabrication of large-aperture continuous phase plates (CPPs) using atmospheric pressure plasma processing (APPP). The approach enhances machining efficiency and precision by analyzing multiple collaborative processing strategies.

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    Area of Science:

    • Optics and Laser Technology
    • Materials Science and Engineering
    • Manufacturing Processes

    Background:

    • Large-aperture continuous phase plates (CPPs) are vital components in high-power laser systems, necessitating efficient and precise manufacturing methods.
    • Current fabrication techniques often employ multiple tool influence functions (TIFs) to balance machining efficiency and precision.
    • Variations in CPP surface designs lead to unpredictable collaborative TIF performance, complicating the selection of optimal processing strategies.

    Purpose of the Study:

    • To develop an optimized planning paradigm for continuous phase plate (CPP) imprinting using atmospheric pressure plasma processing (APPP).
    • To address the ambiguity in determining optimal processing strategies when using multiple collaborative processing (MCP) techniques for CPP fabrication.

    Main Methods:

    • Elucidation of atmospheric pressure plasma processing (APPP) characteristics and the concept of multiple collaborative processing (MCP) analysis.
    • Transformation of the multi-objective optimization problem (MOP) to analyze factors influencing collaborative performance, followed by simulations.
    • Development of an optimal planning methodology to select the best processing scheme from a TIF library for any CPP surface.

    Main Results:

    • The proposed MCP analysis and optimal planning methodology effectively identify optimal processing schemes for CPP fabrication.
    • Simulations and experiments validate the feasibility and effectiveness of the developed approach.
    • Significant reduction in computational overhead, leading to enhanced overall fabrication efficiency for CPPs via APPP.

    Conclusions:

    • The developed optimal planning paradigm, based on MCP analysis, provides a feasible and effective solution for CPP fabrication using APPP.
    • The methodology successfully identifies optimal processing schemes, improving both precision and efficiency.
    • This approach offers a significant advancement in the high-volume manufacturing of large-aperture continuous phase plates.