Parametric Design for the LED Encapsulation Process Using Viscosity Modeling of Epoxy Materials

碩士 === 國立臺北科技大學 === 工業工程與管理研究所 === 99 === Epoxy resin is current material for LED packaging process. The curing link (gel time) for epoxy resin is a crucial phenomenon, impact the fluidity and yield of modeling process. A survey of literature reveals that formed voids after the Molding Compound curi...

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Main Authors: Kuo-Dung Liao, 廖國棟
Other Authors: 黃乾怡
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/32z388
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spelling ndltd-TW-099TIT051170502019-05-15T20:42:29Z http://ndltd.ncl.edu.tw/handle/32z388 Parametric Design for the LED Encapsulation Process Using Viscosity Modeling of Epoxy Materials 利用樹脂黏度模型進行LED封裝製程參數設計 Kuo-Dung Liao 廖國棟 碩士 國立臺北科技大學 工業工程與管理研究所 99 Epoxy resin is current material for LED packaging process. The curing link (gel time) for epoxy resin is a crucial phenomenon, impact the fluidity and yield of modeling process. A survey of literature reveals that formed voids after the Molding Compound curing. In view of this, electronics manufacturers were not haven viscosity function to determine the process parameters of now product. The viscosity function is recommend in this research could provide prediction accurately. In practice, the phenomenon of process and material variation cause uncertainty of quality. The implement be used in this work include that computer-aided parametric design for experiment of viscosity function, artificial neural networks and location optimizing algorithms (CAFE) for gain the optimum process parametric. At the last, the confirmation experiment is used to proof that parametric recommendatory SN ration increased to 43.7% and 43.8%. 黃乾怡 2011 學位論文 ; thesis 73 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺北科技大學 === 工業工程與管理研究所 === 99 === Epoxy resin is current material for LED packaging process. The curing link (gel time) for epoxy resin is a crucial phenomenon, impact the fluidity and yield of modeling process. A survey of literature reveals that formed voids after the Molding Compound curing. In view of this, electronics manufacturers were not haven viscosity function to determine the process parameters of now product. The viscosity function is recommend in this research could provide prediction accurately. In practice, the phenomenon of process and material variation cause uncertainty of quality. The implement be used in this work include that computer-aided parametric design for experiment of viscosity function, artificial neural networks and location optimizing algorithms (CAFE) for gain the optimum process parametric. At the last, the confirmation experiment is used to proof that parametric recommendatory SN ration increased to 43.7% and 43.8%.
author2 黃乾怡
author_facet 黃乾怡
Kuo-Dung Liao
廖國棟
author Kuo-Dung Liao
廖國棟
spellingShingle Kuo-Dung Liao
廖國棟
Parametric Design for the LED Encapsulation Process Using Viscosity Modeling of Epoxy Materials
author_sort Kuo-Dung Liao
title Parametric Design for the LED Encapsulation Process Using Viscosity Modeling of Epoxy Materials
title_short Parametric Design for the LED Encapsulation Process Using Viscosity Modeling of Epoxy Materials
title_full Parametric Design for the LED Encapsulation Process Using Viscosity Modeling of Epoxy Materials
title_fullStr Parametric Design for the LED Encapsulation Process Using Viscosity Modeling of Epoxy Materials
title_full_unstemmed Parametric Design for the LED Encapsulation Process Using Viscosity Modeling of Epoxy Materials
title_sort parametric design for the led encapsulation process using viscosity modeling of epoxy materials
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/32z388
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