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Method for predicting junction temperature distribution in a high-power laser diode bar.

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    This study introduces a hybrid method to predict laser diode (LD) junction temperature distribution. The approach accurately models heat dissipation and cooling for high-power LD bars, crucial for device performance.

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    Area of Science:

    • Optoelectronics
    • Thermal Management
    • Numerical Simulation

    Background:

    • High-power laser diodes (LDs) require precise thermal management for optimal performance and longevity.
    • Accurate prediction of junction temperature distribution is critical for multi-emitter LD bars.

    Purpose of the Study:

    • To propose and validate a hybrid experimental/numerical method for predicting junction temperature distribution in high-power LD bars.
    • To develop a method for characterizing heat dissipation and cooling efficiency in LD systems.

    Main Methods:

    • A hybrid approach combining experimental measurements and numerical simulations.
    • Development of a unique experimental setup to measure average junction temperatures.
    • Inverse determination of the effective heat transfer coefficient using measured data and simulation.
    • Numerical prediction of junction temperature distribution under high operating currents.

    Main Results:

    • The proposed hybrid method successfully predicts junction temperature distribution in a water-cooled LD bar.
    • Characterized heat dissipation and effective heat transfer coefficient were obtained.
    • Results are presented alongside wall-plug efficiency and center wavelength shift.

    Conclusions:

    • The hybrid method offers a reliable approach for thermal analysis of high-power LD bars.
    • Accurate thermal modeling is essential for optimizing LD performance and efficiency.