What is it about?
This is an abit initio method to investigate the degradation path of silicone used in high power LED when exposed to moisture with the LED turn on. The activation energy of the degradation is computed and verified experimentally. The computation results match with our experimental results, and a mathematical model is derived to compute the lifetime of a high power LEDs from some simple initial material properties under different drive current.
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Photo by Osman Rana on Unsplash
Why is it important?
Knowing the science of degradation and the associated computation method enable us to select and design engineering products for good durability before a product is made. This is a novel computational method for design for reliability.
Perspectives
Product reliability is increasingly important, but it usually takes a long time to obtain the test results, especially when the product is reliable. If the test results show unsatisfied results, re-design or re-process can cause delay in product launch. Computational method to determine product reliability during design phase is developed by our team and it is demonstrated in this work as an example. With such computational method, long term standard reliability test becomes a verification, and one can even design specific reliability tests to shorten the verification time. This can save cost, save time and yet ensure product reliability. This is what I called Reliability Science in contrast to reliability engineering.
Cher Ming Tan
Center for Reliability Science and Technology, Chang Gung University
Read the Original
This page is a summary of: Impact of visible light and humidity on the stability of high-power light emitting diode packaging material, Journal of Applied Physics, August 2021, American Institute of Physics,
DOI: 10.1063/5.0059515.
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