Optimize Injection-Molding Process Parameters and Build an Adaptive Process Control System Based on Nozzle Pressure Profile and Clamping Force

Guan Yan Liou, Wei Jie Su, Feng Jung Cheng, Chen Hsiang Chang, Ren Ho Tseng, Sheng Jye Hwang, Hsin Shu Peng, Hsiao Yeh Chu

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The injection-molding process is a non-linear process, and the product quality and long-term production stability are affected by several factors. To stabilize the product quality effected by these factors, this research establishes a standard process parameter setup procedure and an adaptive process control system based on the data collected by a nozzle pressure sensor and a tie-bar strain gauge to achieve this goal. In this research, process parameters such as the V/P switchover point, injection speed, packing pressure, and clamping force are sequentially optimized based on the characteristics of the pressure profile. After the optimization process, this research defines the standard quality characteristics through the optimized process parameters and combines it with the adaptive process control system in order to achieve the purpose of automatic adjustment of the machine and maintain high-quality production. Finally, three different viscosity materials are used to verify the effectiveness of the optimization procedure and the adaptive process control system. With the system, the variation of product weight was reduced to 0.106%, 0.092%, and 0.079%, respectively.

Original languageEnglish
Article number610
JournalPolymers
Volume15
Issue number3
DOIs
Publication statusPublished - 2023 Feb

All Science Journal Classification (ASJC) codes

  • General Chemistry
  • Polymers and Plastics

Fingerprint

Dive into the research topics of 'Optimize Injection-Molding Process Parameters and Build an Adaptive Process Control System Based on Nozzle Pressure Profile and Clamping Force'. Together they form a unique fingerprint.

Cite this