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Please use this identifier to cite or link to this item:
https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/118939
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| Title: | Machine Calibration Effect on the Optimization through Design of experiments (DOE) in Injection Molding |
| Authors: | Xu, Rui-Ting;Huang, Chao-Tsai (CT);Chen, Po-Hsuan;Jong, Wen-Ren;Chang, Rong-Yeu |
| Keywords: | Injection molding;CAE;design of experiment (DOE);machine calibration |
| Date: | 2020-05-05 |
| Issue Date: | 2020-07-20 12:10:18 (UTC+8) |
| Publisher: | Society of Plastics Engineers |
| Abstract: | Quality issue is one of the most important concerns in injection molding. However, before executing mass production, how to retain good quality is one of the crucial factors in injection molding. To retain good quality, it is commonly using CAE to assist from original design to revise and to fabricate. However, even using CAE, it doesn’t guarantee the quality factors obtained from CAE can be applied to real experiments directly. Moreover, the design of experiment (DOE) method has been utilized into injection molding product development for a long time. Today, there are still some challenges by using DOE in injection molding. In this study, a circle plate was selected as the system.. Then, the system was used to perform a series virtual DOE testing for injection molding using CAE to optimize the process conditions. Furthermore, some real DOE experiments were perormed to verify the virtual DOE concept. Finally, the machine calibration effect on the accuracy of quality is discussed. Results show that before machine calibrated, both virtual CAE-DOE and real DOE optimization can provide better quality for injection parts comparing to the original design. However, there is some difference between the virtual CAE-DOE and real DOE results. To find out why the difference happened between the virtual and real DOE results, the machine features have been investigated and the machine was calibrated. After machine calibrated, the difference between the virtual CAE-DOE and real DOE results has been improved by 58%. |
| Relation: | SPE Technical Papers, ANTEC2020-054(6 pages) |
| Appears in Collections: | [Graduate Institute & Department of Chemical and Materials Engineering] Journal Article
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