研究目的
To derive and experimentally verify the near-field 2D and 3D optical intensities from a finite-size Light Emitting Diode (LED), providing a method to calculate both near and far field light intensity distributions by propagating the near field intensity pattern along the optic axis as a function of distance from the light source.
研究成果
The study successfully derives the instantaneous near-field 3D luminous intensity distribution for a finite, flat LED, showing consistency with Lambert’s Cosine Law. The derived surface intensity distribution resembles a Gaussian over a substantial part of the transverse domains, offering a method to calculate peak intensity without laborious brute-force techniques. Future work will extend the model to include transient effects and measurements for LEDs of various sizes and shapes.
研究不足
The study does not incorporate transient effects of the diode's electro-optic response time, which could affect the intensity distribution near the edges of the diode’s emitting surface. Future work will include these effects for a more comprehensive model.
1:Experimental Design and Method Selection:
The study involves deriving closed-form solutions for the near-field light intensity distributions of an inorganic LED on its surface and in volumetric space, comparing these with Lambert’s Cosine Law and Gaussian approximations.
2:Sample Selection and Data Sources:
The experimental verification uses an LED task lamp with discrete LED modules mounted on flat surfaces, and a Philips LXHL high-brightness LED for luminance profile comparison.
3:List of Experimental Equipment and Materials:
A RiGO-801 near-field goniometer by Techno Team Bildverarbeitung GmbH is used for goniometric 3D LID data acquisition.
4:Experimental Procedures and Operational Workflow:
The methodology includes deriving the 3D light intensity distribution, projecting it onto the LED's surface to obtain the 2D intensity distribution, and comparing these with experimental data.
5:Data Analysis Methods:
The analysis involves comparing the derived formulas with measured data, using normalization and superimposition techniques for validation.
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