Intelligent process control for injection molding

  • Huamin Zhou*
  • , Peng Zhao
  • , Lih Sheng Turng
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An intelligent system combining a simplified simulation model and fuzzy inference has been developed for determining the process parameters of injection molding. First, preliminary optimization based on a simplified simulation model was employed for the initial setting. Then, a fuzzy inference model based on expert knowledge was used for correcting defects. By communicating with the machine controller, the intelligent system was integrated with the injection molding machine to optimize process parameters real time. An experimental study was carried out for verification.

Original languageEnglish
Title of host publicationSociety of Plastics Engineers - 66th Annual Technical Conference of the Society of Plastics Engineers, Plastics Encounter at ANTEC 2008
Pages2186-2190
Number of pages5
StatePublished - 2008
Externally publishedYes
Event66th Annual Technical Conference of the Society of Plastics Engineers, Plastics Encounter at ANTEC 2008 - Milwaukee, WI, United States
Duration: 04 05 200808 05 2008

Publication series

NameTechnical Papers, Regional Technical Conference - Society of Plastics Engineers
Volume4

Conference

Conference66th Annual Technical Conference of the Society of Plastics Engineers, Plastics Encounter at ANTEC 2008
Country/TerritoryUnited States
CityMilwaukee, WI
Period04/05/0808/05/08

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