Study of an online monitoring adaptive system for an injection molding process based on a nozzle pressure curve

Jia Chen Fan-Jiang, Chi Wei Su, Guan Yan Liou, Sheng Jye Hwang, Huei Huang Lee, Hsin Shu Peng, Hsiao Yeh Chu

Research output: Contribution to journalArticlepeer-review

Abstract

Injection molding is a popular process for the mass production of polymer products, but due to the characteristics of the injection process, there are many factors that will affect the product quality during the long fabrication processes. In this study, an adaptive adjustment system was developed by C++ programming to adjust the V/P switchover point and injection speed during the injection molding process in order to minimize the variation of the product weight. Based on a series of preliminary experiments, it was found that the viscosity index and peak pressure had a strong correlation with the weight of the injection-molded parts. Therefore, the viscosity index and peak pressure are used to guide the adjustment in the presented control system, and only one nozzle pressure sensor is used in the system. The results of the preliminary experiments indicate that the reduction of the packing time and setting enough clamping force can decrease the variation of the injected weight without turning on the adaptive control system; meanwhile, the master pressure curve obtained from the preliminary experiment was used as the control target of the system. With this system, the variation of the product weight and coefficient of variation (CV) of the product weight can be decreased to 0.21 and 0.05%, respectively.

Original languageEnglish
Article number555
Pages (from-to)1-15
Number of pages15
JournalPolymers
Volume13
Issue number4
DOIs
Publication statusPublished - 2021 Feb 2

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Polymers and Plastics

Fingerprint

Dive into the research topics of 'Study of an online monitoring adaptive system for an injection molding process based on a nozzle pressure curve'. Together they form a unique fingerprint.

Cite this