Study of reducing Porosity Defect Rate for Die Casting products of Aluminum Alloy
| Autor: | Mei-Hui Chuang, 莊美慧 |
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| Rok vydání: | 2016 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 104 This research aims to investigate the case for Aluminum alloy A356 with die casting technology of LCD shell’s molding process; because die casting part need to make big investment on mold so RD will make the mold to be used in several versions and the investment can be amortized to a minimum value. Therefore, RD need to keep a thick wall in casting part for prevent different need in CNC machining process in future. Due to the design of thick wall, it would be hard to avoid porosity issues occur in casting part. Especially when porosity is located on CNC machining area, it would be hard to pass IP67 test in the final LCD display. So this research focus in how to use mold flow simulation software to simulate porosity size and porosity location. In order to identify defective symptoms and root causes, we use software C3P.casting to simulate the filling process and analysis potential failures inside the cavity. Then taking advantage of the realistic experiment from the factory we did experiment to prove and validate the efficiency of simulation results. The simulation results would be able to acquire the best filling procedures including gate, runner and material over flow area. This case is mainly focus on LCD display metal cover to do mold flow simulation analysis and reducing the defect rate of porosity. Based on the investigation results of difference between before and after mold modification; before mold modification the porosity size is about 1-2mm and the production yield is low. After mold modification on enlarge the gate size、remove some area of runner and extend over flow length, the mold flow analysis results shows a stable filling procedure within cavity. And we have smaller porosity between 0.1-0.3mm and big improvement on production yield which prove the simulation results. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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