Optimization of Injection Molding Processing Parameters for LCD Light-Guide Plates
| 详细信息 | 推荐本文 | |
- 作者：Chung-Feng Jeffrey Kuo (1) jeffreykuo@mail.ntust.edu.tw
Te-Li Su (1) - 关键词：grey relational analysis ; injection molding ; light ; guide plate ; multiple quality characteristics ; Taguchi quality method
- 刊名：Journal of Materials Engineering and Performance
- 出版时间：October 2007
- 出版年：2007
- 期刊代码：pc351_1059-9495
- 类别：ch
- 卷：16
- 期：5
- 页码：539-548
- 数据来源：sp
摘要
Liquid crystal display (LCD) light-guide plate injection molding has always had the unexpected deformation issue which results in variations in the quality of the resulting products. The main cause for this lies in the setting of the processing parameters. The objective of this paper is to combine grey relational analysis (GRA) with the Taguchi method to optimize multiple-quality injection molding processing parameter combination. First, a L18(21 脳 37) orthogonal array was used to plan out the processing parameters that would affect the injection molding process. Then GRA was applied to resolve the drawback of single quality characteristics in the Taguchi method, and then the optimized processing parameter combination was obtained for multiple quality characteristics from the response table and the response graph from GRA. The quality characteristics of this experiment were the depth and angle of the light-guide plate V-cut microstructure. Signal-to-noise ratio (SN ratio) calculation and analysis of variance (ANOVA) would be performed to look into the results obtained from the experiment. From ANOVA the significant factors could be obtained which had the greatest effect on the light-guide plate quality characteristics, in other words, by controlling these factors, the quality characteristics of the LCD light-guide plate could be effectively controlled. Finally, the reliability and reproducibility of the experiment was verified by confirming a confidence interval (CI) of 95%.