Nozzle Pressure and Clamping Force Based Injection Molding Process Parameter Optimization and Adaptive Process Quality Control

Guan Yan Liou, Feng Jung Cheng, Wei Jie Su, Sheng Jye Hwang, Hsin Shu Peng, Hsiao Yeh Chu

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

The parameter setting will decide the quality of the injection molded product. The quality of injection molded parts may be altered by environment changes, different material batches and improper processing parameter settings etc., resulting in unstable product quality in the long-term production process. This research aims at machine tooling and established a science based standard process parameter setting process for injection molding machine based on the least sensors, so that the production process is stable even without the use of the adaptive process control system. This study define the appropriate velocity to pressure (V/P) switchover point, injection speed and packing pressure according to the characteristics of the nozzle pressure, and define the appropriate clamping force by the peak value of the clamping force. The next step is to combine the sensors with an adaptive process control system to minimize product weight variation and stabilize product quality. Finally, experiments were carried out with different materials to verify the effectiveness of the system and to be suitable for different machines, and to prove the feasibility of industrialization.

原文English
主出版物標題ICMT 2022 - 25th International Conference on Mechatronics Technology
編輯Yung-Tien Liu, JJ Chong, Trung Quang Dinh
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781665461955
DOIs
出版狀態Published - 2022
事件25th International Conference on Mechatronics Technology, ICMT 2022 - Kaohsiung, Taiwan
持續時間: 2022 11月 182022 11月 21

出版系列

名字ICMT 2022 - 25th International Conference on Mechatronics Technology

Conference

Conference25th International Conference on Mechatronics Technology, ICMT 2022
國家/地區Taiwan
城市Kaohsiung
期間22-11-1822-11-21

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電氣與電子工程
  • 機械工業
  • 控制和優化

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