1. Optimizing Optical Film Lamination to Enhance the Luminance of TFT-LCD Displays Using the Taguchi-NNGA Method
- Author
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Chia-Ming Lin and Yungho Leu
- Subjects
Technology ,Computer science ,neural network ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Lamination (topology) ,Luminance ,Article ,GeneralLiterature_MISCELLANEOUS ,law.invention ,Taguchi methods ,law ,Genetic algorithm ,Electronic engineering ,genetic algorithm ,General Materials Science ,ComputingMethodologies_COMPUTERGRAPHICS ,laminated materials ,Microscopy ,QC120-168.85 ,Liquid-crystal display ,Artificial neural network ,TFT-LCD displays ,Taguchi method ,QH201-278.5 ,Engineering (General). Civil engineering (General) ,Trial and error ,TK1-9971 ,Descriptive and experimental mechanics ,Thin-film transistor ,Electrical engineering. Electronics. Nuclear engineering ,TA1-2040 - Abstract
Luminance is an essential quality of a TFT-LCD display. Manufacturers have attempted to improve the soft-to-hard lamination stage to enhance the luminance of their TFT-LCD displays. In addition, many customers have complained about the insufficient luminance of the TFT-LCD displays of the case company. While product engineers have kept tuning the control factors in the soft-to-hard lamination stage through the trial and error method, the improvement of the luminance was not good enough. This study aims to assist the product engineers to fine-tune the settings of the control factors using a new method composed of the Taguchi method, a neural network, and a genetic algorithm. The confirmation experiments showed that the proposed method had increased the average luminance of the TFT-LCD displays from 17.03 to 25.15, which was higher than the required luminance value of 25. As a result, the number of complaints on the TFT-LCD displays had been significantly reduced.
- Published
- 2021
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