Development of an Online Quality Control System for Injection Molding Process

Ming Hong Tsai, Jia Chen Fan-Jiang, Guan Yan Liou, Feng Jung Cheng, Sheng Jye Hwang, Hsin Shu Peng, Hsiao Yeh Chu

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


This research developed an adaptive control system for injection molding process. The purpose of this control system is to adaptively maintain the consistency of product quality by minimize the mass variation of injection molded parts. The adaptive control system works with the information collected through two sensors installed in the machine only—the injection nozzle pressure sensor and the temperature sensor. In this research, preliminary experiments are purposed to find master pressure curve that relates to product quality. Viscosity index, peak pressure, and timing of the peak pressure are used to characterize the pressure curve. The correlation between product quality and parameters such as switchover position and injection speed were used to produce a training data for back propagation neural network (BPNN) to compute weight and bias which are applied on the adaptive control system. By using this system, the variation of part weight is maintained to be as low as 0.14%.

Original languageEnglish
Article number1607
Issue number8
Publication statusPublished - 2022 Apr 1

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Polymers and Plastics


Dive into the research topics of 'Development of an Online Quality Control System for Injection Molding Process'. Together they form a unique fingerprint.

Cite this