Prediction of light extraction efficiency of LEDs by ray trace simulation

Akos Borbely; Steve G. Johnson

doi:10.1117/12.504935

26 January 2004 Prediction of light extraction efficiency of LEDs by ray trace simulation

Akos Borbely, Steve G. Johnson

Proceedings Volume 5187, Third International Conference on Solid State Lighting; (2004) https://doi.org/10.1117/12.504935
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

The advantage of enhancing the light extraction of LED dies is twofold: it increases the overall efficiency of the device, reducing internal absorption and subsequently the temperature of the device. We have developed the solid model of a commercially available blue LED in a ray tracing simulation software according to the physical structure of the GaN die grown on SiC substrate. Optical parameters of the various device layers were adjusted within a plausible range to achieve the best match between the measured and the simulated spatial luminous intensity profile. Two approaches for improving the light extraction efficiency were examined using the model: change of refractive index of the encapsulating medium and chip shaping. Simulation results were verified by a series of luminous intensity and total flux measurements in a mini-goniophotometer. We found that the physical experiment confirmed the predicted results.

Citation Download Citation

Akos Borbely and Steve G. Johnson "Prediction of light extraction efficiency of LEDs by ray trace simulation", Proc. SPIE 5187, Third International Conference on Solid State Lighting, (26 January 2004); https://doi.org/10.1117/12.504935

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available