Application of Grey Relational Analysis on Optimal Design of Injection Molding Parameters for Light-Guided Plates

• Main Authors: Hong-Hua Ku, 古洪華
• Other Authors: Ming-Shyan Huang
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/18901129496062587482

碩士 === 國立高雄第一科技大學 === 機械與自動化工程研究所 === 99 === This investigation explores the microinjection molding of light-guided plates (LGPs) using LIGA-like fabricated stampers. The 3.5-inch LGP has a thin wall (0.76 mm) and micron-sized features of truncated pyramidal prisms (70 ?慆 wide and 38.3 um deep, with a vertex angle of 70.5o) and v-grooves (9.8 um deep). Stampers for LGP injection molding are fabricated precisely by combining the anisotropic wet etching of silicon-on-insulation wafers with electroforming. LGPs must have multiple quality characteristics, such as good replication effects on microfeatures and flatness of the plate. In this study, the Taguchi method and grey relational analysis are adopted to optimize the microinjection molding parameters. Various injection molding parameters, including mold temperature, melt temperature, holding pressure, and injection speed are considered. Experimental results demonstrate that mold temperature and holding pressure dominate the performance. Grey relational analysis and the Taguchi method can be used to determine the optimal process parameters for LGP molding.