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Published on: May 30, 2020
Indirect Estimation of Absorbed Infrared LED Radiant Power Using Contactless Thermal Sensing
Sorin Eugen Popa1, Petru Gabriel Puiu1, Dragoș Alexandru Andrioaia1
1The Department of Power Engineering and Computer Science, Faculty of Engineering, "Vasile Alecsandri" University of Bacau, 600115 Bacau, Romania.
This study introduces a low-cost method for characterizing near-infrared (NIR) LEDs using thermal response. The technique offers accessible, comparative analysis of NIR emitters without expensive radiometric equipment.
Area of Science:
- Optoelectronics
- Thermal Engineering
- Measurement Science
Background:
- Accurate characterization of low-power near-infrared (NIR) Light Emitting Diodes (LEDs) is often hindered by the high cost of radiometric equipment.
- Existing methods limit accessibility for broader research and development in NIR applications.
Purpose of the Study:
- To develop and validate a cost-effective, indirect method for the comparative characterization of low-power NIR LEDs.
- To enable wider accessibility to NIR LED characterization using readily available components.
Main Methods:
- Utilized a thermal response approach monitoring black-coated aluminum targets with a contactless temperature sensor (MLX90614) and ESP32 acquisition system.
- Employed a steady-state energy-balance model incorporating convective and radiative heat transfer to estimate absorbed optical power.
- Derived geometry-dependent effective coefficients for 10 mm and 15 mm diameter targets.
Main Results:
- Demonstrated a linear relationship between absorbed power and drive/electrical input power for 850 nm and 940 nm LEDs (R² > 0.995).
- Observed higher capture ratios with 15 mm targets (10.4-11.9%) compared to 10 mm targets (8.4-9.4%).
- Achieved measurement uncertainty below 25% within recommended operating ranges (≥70 mA for 10 mm, ≥80 mA for 15 mm targets).
Conclusions:
- The proposed low-cost platform provides a reliable method for comparative characterization of low-power NIR LEDs.
- This indirect method leverages thermal sensing and readily available components, enhancing accessibility for NIR emitter analysis.
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