Application of Grey Relational Theory to Optimization Analysis of Laser Scribing Process for Soft Substrate Silver Plastic Materials

碩士 === 國立臺北科技大學 === 機電整合研究所 === 101 === Traditional manufacturing of the thin film transistor liquid crystal display (TFT-LCD) uses wet process equipment, hence producing large amounts of toxic liquid waste. This study presents a method of using dry equipment with high-precision laser scribing on t...

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Bibliographic Details
Main Authors: Yu-Hsuan Hsiao, 蕭宇軒
Other Authors: Jin-Siang Shaw
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/n6hf98
Description
Summary:碩士 === 國立臺北科技大學 === 機電整合研究所 === 101 === Traditional manufacturing of the thin film transistor liquid crystal display (TFT-LCD) uses wet process equipment, hence producing large amounts of toxic liquid waste. This study presents a method of using dry equipment with high-precision laser scribing on the soft substrate silver plastic materials for non-pollution etching process. This paper will use 532nm wavelength green laser as the processing platform for insulation experiments, and aim to achieve parameter optimization of laser scribing process on the glass metal thin film through grey relational theory. In this study of laser scribing process, the two main targets are that the PET substrate not melted and successful metal film insulation. Under the requirements of scribing the metal film with a certain groove width and depth, we plan to integrate the laser system operating parameters to achieve the targets. Therefore, the laser parameter selections are the key elements for the isolation process. These key parameters include laser focusing position, average laser power and laser pitch. Using the experimental result and the grey theory analysis, we illustrate the validity of applying the grey theory to laser scribing process. This paper verifies the application of 532nm laser to the glass panel metal film with an appropriate combination of control parameters that can obtain excellent processing performance.