期刊論文

學年 110
學期 2
出版（發表）日期 2022-06-14
作品名稱 Study on Machine identification and its effect on the RSM Optimization in Injection Molding
作品名稱（其他語言）
著者 Rui-Ting Xu; Tsung-Han Wang; Chao-Tsai (CT) Huang*; Po-Hsuan Chen; Wen-Ren Jong; Shia-Chung Chen; David Hsu; Rong-Yeu Chang
單位
出版者
著錄名稱、卷期、頁數 SPE Technical Papers ANTEC2022
摘要 Different optimization methods or strategies have been proposed and utilized to enhance the quality of injected products for many years. However, what is the machine characteristics to influence the efficiency of the optimization method? It is not fully understood yet. In this study, the injection machine characteristics has been identified using numerical simulation (Moldex3D) based on a round plate system. The response surface method (RSM) was further utilized for both simulation prediction and experimental conduction to discuss the efficiency of the optimization for operation parameters in injection molding. Results showed that before the machine identification and calibration, the quality of injected part can be improved by 75% theoretically. At the same time, the real experimental system demonstrated worse result. However, the difference between simulation and experiment has the same amount no matter the system has been optimized or not through RSM method. Moreover, after the machine identified and calibrated, the difference between simulation prediction and experimental observation has been improved by 71.4%. Also, the accuracy of the RSM optimization in the real experiment has been enhanced by 50% (from -0.06 mm to 0.03 mm). Obviously, it showed that the machine identification for the real capability is very important.
關鍵字 injection molding;CAE simulation;response surface method (RSM)
語言 en_US
ISSN 0560-642X
期刊性質 國外
收錄於 EI
產學合作
通訊作者 Chao-Tsai Huang
審稿制度 否
國別 USA
公開徵稿
出版型式 ,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/123276 )