• Proceedings of the Optical Society of Korea Conference
• /
• 2009.02a
• /
• pp.383-384
• /
• 2009

• Proceedings of the Optical Society of Korea Conference
• /
• 2005.02a
• /
• pp.256-257
• /
• 2005

• Proceedings of the Optical Society of Korea Conference
• /
• 2005.02a
• /
• pp.120-121
• /
• 2005

• Proceedings of the Optical Society of Korea Conference
• /
• 2007.07a
• /
• pp.363-364
• /
• 2007

• Proceedings of the Korean Society of Laser Processing Conference
• /
• 2006.06a
• /
• pp.66-67
• /
• 2006

• Journal of Satellite, Information and Communications
• /
• v.9 no.1
• /
• pp.70-73
• /
• 2014

We have designed high performance flexible prism light-guide plate (LGP) in 5 inch TFT-LCD for mobile applications. We adopted novel material such as methacrylate and butyl acrylate mixture, as it called KURARITY. It has good flexibility by addition of butyl acrylate. And it has also good transmissivity because methacrylate is a major compound. Then, we achieved good test result to embody high brightness and flexible BLU in case of LGP of base and upper surface with 5 inch, thickness 1.5mm adding prism construct, it is superior brightness improvement than previous flexible LGP. It shows significant improvement than previous printing form about some 5% and in this course to flexible embody actual material it succeeded prism LGP production by 5 inch injection form process.

• Transactions of Materials Processing
• /
• v.23 no.1
• /
• pp.41-48
• /
• 2014

The light guide plate has become the major component for the backlight module in general information technology products (e.g. mobile phones, monitors, etc.). High speed injection molding has been adopted for thin walled LGP giving advantages such as weight, shape, size, and reduction in production costs. In the current study, the rheological characteristics of high liquidity plastic resin PC(HL8000) were measured using a capillary rheometer to improve the reliability of the numerical analysis for high speed injection molding. With the measured viscosity and PVT of PC(HL8000), numerical analysis of injection molding was conducted using the simulation software(Moldflow). Filling time and deflection were predicted and compared with those of traditional PC resins(H3000, H4000). The results show that PC(HL8000) has significantly different rheological characteristics during high speed injection molding. Hence proper properties of the resin should be used to improve the accuracy of numerical predictions.

• Korean Journal of Optics and Photonics
• /
• v.21 no.2
• /
• pp.41-45
• /
• 2010

In order to obtain thinner and brighter backlight units (BLU), we simulated a new-type backlight unit. A micro-lens array sheet was formed on the upper plane of the light guide plate (LGP) comprising the backlight unit. Also, in order to match with the LGP, we simulated a functional optical sheet. The conventional BLU uses one LGP and four optical sheets, but we simulated a BLU that uses one optical sheet. Simulation results have revealed that our BLU can achieve the same luminance and 30% better view angle as compared with conventional ones.

• Design & Manufacturing
• /
• v.15 no.3
• /
• pp.1-6
• /
• 2021

An artificial neural network model based on a deep learning algorithm is known to be more accurate than humans in image classification, but there is still a limit in the sense that there needs to be a lot of training data that can be called big data. Therefore, various techniques are being studied to build an artificial neural network model with high precision, even with small data. The transfer learning technique is assessed as an excellent alternative. As a result, the purpose of this study is to develop an artificial neural network system that can classify burr images of light guide plate products with 99% accuracy using transfer learning technique. Specifically, for the light guide plate product, 150 images of the normal product and the burr were taken at various angles, heights, positions, etc., respectively. Then, after the preprocessing of images such as thresholding and image augmentation, for a total of 3,300 images were generated. 2,970 images were separated for training, while the remaining 330 images were separated for model accuracy testing. For the transfer learning, a base model was developed using the NASNet-Large model that pre-trained 14 million ImageNet data. According to the final model accuracy test, the 99% accuracy in the image classification for training and test images was confirmed. Consequently, based on the results of this study, it is expected to help develop an integrated AI production management system by training not only the burr but also various defective images.

• Korean Journal of Optics and Photonics
• /
• v.21 no.2
• /
• pp.61-68
• /
• 2010

Optical simulation methods were applied to the edge-lit LED backlight for LCD TV applications in order to optimize the optical structure of the light guide plate(LGP), and thus to improve the uniformity properties by removing the bright spots caused by LED's. The edge-lit LED backlight consisted of three white LED's with a lamp cover, a light guide plate, and a reflection film. When there was no pattern on the entrance side surface of the LGP, the illuminance uniformity was sensitively dependent on the distance d between the LED and the entrance surface. The illuminance uniformity increased with d but its increasing rate slowed down when d was beyond ~ 1.5 mm. When micro-patterns such as a lenticular lens array (LLA) or a serration pattern were formed on the entrance surface, the illuminance uniformity was improved substantially even for the case of very small d. At the same simulation condition, the lightguide with serration pattern showed a better uniformity than that with LLA pattern. Additional improvement could be achieved by changing the refractive index of the micro-patterns. These results suggest that using micro-patterns is a very effective way to reduce the bright spots due to their refracting function for the concentrated incident rays onto the LGP.