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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationMaterials and Technologies in Precision Machinery III
EditorsGow-Yi Tzou
PublisherTrans Tech Publications Ltd
Pages64-73
Number of pages10
ISBN (Print)9783035717778
DOIs
Publication statusPublished - 2020
Event5th International Conference on Precision Machinery and Manufacturing Technology, ICPMMT 2020 - Auckland, New Zealand
Duration: 2020 Feb 32020 Feb 7

Publication series

NameSolid State Phenomena
Volume311 SSP
ISSN (Print)1012-0394
ISSN (Electronic)1662-9779

Conference

Conference5th International Conference on Precision Machinery and Manufacturing Technology, ICPMMT 2020
CountryNew Zealand
CityAuckland
Period20-02-0320-02-07

All Science Journal Classification (ASJC) codes

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

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