首页> 外文期刊>Microelectronics & Reliability >Optimization of the bistability property for flexible display by an integrated approach using Taguchi methods, neural networks and genetic algorithms
【24h】

Optimization of the bistability property for flexible display by an integrated approach using Taguchi methods, neural networks and genetic algorithms

机译:使用Taguchi方法,神经网络和遗传算法的集成方法,优化了柔性显示的双稳性

获取原文
获取原文并翻译 | 示例
           

摘要

Flexible display has many advantages including lower power consumption, lighter weight, and thinness. Therefore, several companies strive to develop new applications for flexible displays to keep abreast of market opportunities. Flexible displays depend on the reflection of module processes; thus, its bistability should be improved to obtain a good vitality of optical whiteness characteristic. The current study applies an integrated approach to find the optimal settings of important control factors to determine effectively the settings of various different design parameters, thereby meeting closely the bistability targets. An actual case study is used to demonstrate the usefulness of the suggested approach for improving the bistability characteristic of flexible displays. The optical whiteness ratio has been improved from 20.79 to 28.24. Also, the case company shortened the improvement schedule effectively, regained customer orders, and earned revenues of approximately USD 32,000,000.
机译:柔性显示器具有许多优势,包括更低的功耗,更轻的重量和更薄的厚度。因此,一些公司努力开发用于柔性显示器的新应用,以紧跟市场机会。灵活的显示取决于模块过程的反映。因此,应改善其双稳性以获得良好的光学白度特性。当前的研究采用一种综合方法来找到重要控制因素的最佳设置,从而有效地确定各种不同设计参数的设置,从而紧密地满足双稳态目标。通过实际案例研究来证明所建议的方法对改善柔性显示器的双稳态特性的有用性。光学白度比从20.79提高到28.24。此外,案例公司有效地缩短了改进进度,重新获得了客户订单,并获得了约32,000,000美元的收入。

著录项

  • 来源
    《Microelectronics & Reliability》 |2012年第7期|p.1492-1500|共9页
  • 作者单位

    Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan;

    Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan;

    Department of Industrial & Manufacturing Systems Engineering, University of Missouri, Columbia, MO, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号