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Optimizing LED array irradiance uniformity with a particle swarm optimization-based scheme: application in a parallel

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    Particle swarm optimization enhances light-emitting diode (LED) array irradiance uniformity in photoreactors. This method significantly improves uniformity for practical applications.

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    Area of Science:

    • Optical Engineering
    • Photoreactor Design
    • Computational Optimization

    Background:

    • Achieving uniform light distribution in photoreactors is crucial for efficient reactions.
    • Traditional light-emitting diode (LED) array designs often suffer from non-uniform irradiance.
    • Optimizing LED placement is complex due to physical and electrical constraints.

    Purpose of the Study:

    • To develop and validate a particle swarm optimization (PSO) method for improving LED array irradiance uniformity.
    • To integrate practical design constraints into the optimization process.
    • To demonstrate the effectiveness of the proposed method in enhancing photoreactor performance.

    Main Methods:

    • Construction and validation of a spatial irradiance model using optical test data and simulations.
    • Development of an evaluation function for irradiance uniformity.
    • Iterative optimization of LED arrangement using particle swarm optimization (PSO) considering chip size, heat dissipation, and wiring.

    Main Results:

    • The spatial irradiance model accurately predicted light distribution.
    • The PSO-based optimization significantly improved irradiance uniformity from 75.27% to 95.61%.
    • The optimized LED array design successfully addressed practical manufacturing and operational constraints.

    Conclusions:

    • The proposed PSO-based method is effective for optimizing LED array irradiance uniformity in parallel photoreactors.
    • This approach offers a feasible solution for enhancing the performance and efficiency of LED-based photoreactor systems.
    • The study validates the practical applicability of computational optimization in optical system design.