教師資料查詢 | 類別: 期刊論文 | 教師: 黃招財 CHAO-TSAI HUANG (瀏覽個人網頁)

標題:Investigation on the Machine Calibration Effect on the Optimization through Design of experiments (DOE) in Injection Molding Parts
學年109
學期1
出版(發表)日期2020/10/01
作品名稱Investigation on the Machine Calibration Effect on the Optimization through Design of experiments (DOE) in Injection Molding Parts
作品名稱(其他語言)
著者Chao-Tsai Huang; Rui-Ting Xu; Po-Hsuan Chen; Wen-Ren Jong; Shia-Chung Chen
單位
出版者
著錄名稱、卷期、頁數Polymer Testing 90, 106703
摘要Achieving production quality is a key issue faced in injection molding. Before mass production, ensuring good production quality is one of the crucial factors in injection molding. To achieve good quality, CAE technology is beneficial to assist us either to make the process window approach or to integrate with optimization strategies to improve the quality. However, there are still some questions or challenges existed. For example, for general injection molding, the difference between CAE simulation prediction and real experimental observation is very often encountered. But its mechanism of this difference is not fully understood yet. When design of experiments (DOE) procedure is performed using CAE simulation, the optimal parameters obtained from CAE prediction are expected to be forwarded into the real molding trial. However, there is no guarantee to get results with good accuracy based on those optimal parameters. In this study, we have proposed a feasible methodology to uncover the difference and its internal mechanism between CAE simulation prediction and real experimental observation. It also includes the method to reduce that difference by calibrating the machine performance. Specifically, a standard procedure to calibrate the real performance of the injection machine using CAE technology has been constructed. Moreover, to realize the integration of CAE and DOE optimization strategy, the quality difference between the virtual CAE-DOE and the physical DOE optimization has been investigated before doing the machine calibration. The result showed that the difference between the virtual CAE-DOE and the physical DOE is almost same as that of the original injection molding design. However, after the machine calibration, the quality difference between the virtual CAE-DOE and the physical DOE optimization is reduced by 67%. It is noted that the machine calibration effect is quite significant in injection molding process development.
關鍵字Injection molding; CAE; design of experiment (DOE); machine calibration
語言英文
ISSN1873-2348
期刊性質國外
收錄於SCI;
產學合作
通訊作者黃招財
審稿制度
國別英國
公開徵稿
出版型式,電子版
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