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Journal of Applied Sciences

Year: 2013 | Volume: 13 | Issue: 13 | Page No.: 2378-2383
DOI: 10.3923/jas.2013.2378.2383
Optimization Design for the Dot Pattern of Led Light Guide Plate Using Soft Computing
W.C. Chen, P.H. Liou and B.J. Chen

Abstract: The dot pattern distribution under the light guide plate is the major factor to influence the issues of uniformity and luminance. Thus, the key to affect the efficiency of the backlight module is the dot pattern design. This study presents a simulation experiment by using the optical simulation software of TracePro and the orthogonal array based on the Taguchi method. It then creates a dot pattern optical quality predictor by back-propagation neural network to find out the relationship between the radius sets of the dot pattern and the amount of output light in each area of the light guide plate. This dot pattern optical quality predictor can precisely predict the uniformity of the laminate derived from different radii in each dot pattern area. This experiment finally integrates the genetic algorithm method into the optical quality predictor to figure out full optimization for the dot pattern radius sets. The results of simulation test show that optimization design can reach the uniformity up to 90.19% calculated by 140-dot measuring, which can not only improve the uniformity of luminance in the incidence plane but can also simplify design of dot pattern distribution. This study will demonstrate that it can increase the speed and stability of the LGP microstructure design. The obtained uniformity and luminance can meet the standard in microstructure size. It can also reduce the reworking frequency and cost.

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How to cite this article
W.C. Chen, P.H. Liou and B.J. Chen, 2013. Optimization Design for the Dot Pattern of Led Light Guide Plate Using Soft Computing. Journal of Applied Sciences, 13: 2378-2383.

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