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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/71589


    Title: 運用模流分析軟體搭配田口方法探討液態矽膠射出成型製程參數之研究
    Authors: 林聖強;Lin,Sheng-Chiang
    Contributors: 光機電工程研究所
    Keywords: 射出成型;液態矽膠;田口實驗;Injection molding;liquid silicone;Taguchi method
    Date: 2016-08-29
    Issue Date: 2016-10-13 13:19:09 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 本研究目的為利用模流分析軟體,探討不同射出成型製程參數對於液態矽膠透鏡不同曲面變形之影響。研究中使用田口實驗設計方法安排實驗參數,探討不同製程參數對透鏡成型之影響程度,藉由變異數分析確認顯著因子的重要性及其信心水準,並得到其對品質特性的貢獻度。
    本研究採用L8(27)和L9(34)兩種直交表(Orthogonal Array),控制因子選擇射出流率、加熱管溫度、塑料溫度、加熱時間、澆口大小、保壓壓力、材料熱傳導特性及產品肉厚變化。在田口實驗中將製程參數分為兩部份,其中製程機台基本參數分為一組,另一部份為模具設計、加熱時間及材料熱傳導係數。實驗先使用L8直交表對參數進行大範圍探討,且由交互作用分析結果顯示塑料溫度與射出流率有強烈交互作用。接著利用L9直交表對L8田口實驗結果進一步探討,找出最佳製程參數使透鏡品質提升。
    實驗結果顯示保壓壓力為改善翹曲位移最重要因子,其次為加熱管溫度和塑料溫度,而射出流率影響力相對較低。變異數分析結果顯示,在信心水準99%下,實驗翹曲結果皆會在信賴區間內。
    ;In this study, the molding simulation software (Moldex3D) is utilized to investigate the impacts of molding parameters on the warp of liquid silicone lens. Taguchi method is employed as a design of experiment, which can be used to discuss the influence of various parameters. And then confirms the importance of significant factors and its confidence level through analysis of variance (ANOVA).
    Two types of orthogonal array (L8(27), L9(34)) are adopted in this research, the injection rate, temperature of heating rod, melt temperature, heating time, gate size, packing pressure, thermal conductivity and product thickness are served as the control factors. Notice that only parts of factors are included in experiments related to Taguchi method. The experiments in orthogonal array L8(27) are first conducted with wider range of parameter value to understand their influences on quality, which demonstrate the significant interactions between injection rate and melt temperature. Then, in order to find an optimal set of molding parameters, relatively narrower range of parameter values are adopted in the experiments of orthogonal array L9(34).
    Through a series of simulation, the results reveal that packing pressure is the most important factor and followed the temperature of heating rod and melt temperature, the injection rate has the lowest impact. In ANOVA, the outputs of experiment always lie in the confident interval with 99% confident level.
    Appears in Collections:[光機電工程研究所 ] 博碩士論文

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