Study on mold flow analysis and injection product verification by analysis of variance and response surface method-taking toothbrush as an example

Dyi Cheng Chen, Kuo Cheng Wen, Rih Sheng Yang, Yu Yu Lai

研究成果: Conference contribution

摘要

With the advancement of technology, plastic products are inseparable in our environment, and the impact of the plastics industry on us is gradually increasing. Although Taiwan's plastics industry has been progressively added to mold flow analysis and automation, there are still some areas in the manufacturing process that can be optimized. In the process of slit-shaped materials, bending and deformation have a very large impact on the finished product, which is a major issue at the technical level. In this study, a toothbrush was taken as an example to find the best combination of injection molding parameters. The research process was studied from CAD mold design, CAE mold flow analysis, injection molding parameter analysis, mold opening, product injection and measurement, and the results were verified. Among them, the injection pressure, dwell time and holding pressure are used as the Taguchi factor, and the CAE mold flow analysis is performed by the direct cross table L16 (45) combination to find a small amount of warpage, and the Taguchi method and the reaction surface method are used to find out the best combination of parameters. After the final product was shot and the dimensions and simulation were compared with each other, the data showed that the amount of warpage of the finished product was 0.0892 mm, and the error with the analog value was 0.0212 mm, which confirmed that the injection molding parameters were reliable.

原文English
主出版物標題Materials and Technologies in Precision Machinery III
編輯Gow-Yi Tzou
發行者Trans Tech Publications Ltd
頁面64-73
頁數10
ISBN(列印)9783035717778
DOIs
出版狀態Published - 2020
事件5th International Conference on Precision Machinery and Manufacturing Technology, ICPMMT 2020 - Auckland, New Zealand
持續時間: 2020 二月 32020 二月 7

出版系列

名字Solid State Phenomena
311 SSP
ISSN(列印)1012-0394
ISSN(電子)1662-9779

Conference

Conference5th International Conference on Precision Machinery and Manufacturing Technology, ICPMMT 2020
國家New Zealand
城市Auckland
期間20-02-0320-02-07

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Materials Science(all)
  • Condensed Matter Physics

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