Intelligent setting of process parameters for injection molding based on case-based reasoning of molding features

Shengrui Yu, Tianfeng Zhang, Yun Zhang, Zhigao Huang, Huang Gao*, Wen Han, Lih Sheng Turng, Huamin Zhou

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

10 Scopus citations

Abstract

Process parameters of injection molding are the key factors affecting the final quality and the molding efficiency of products. In the traditional automatic setting of process parameters based on case-based reasoning, only the geometric features of molds are considered, which may not be the representative feature of products and cause the reasoning process to fail. This problem of failure manifests itself in that the molding process parameters inferred by the reasoning system may be very different between molds with similar geometric features or very similar between molds with different geometric features. Therefore, this paper proposes a case-based-reasoning method based on molding features in order to overcome this problem by a method of dimensionality reduction, composed of three stages which (1) obtain the injection pressure profile data through actual injection molding or filling simulation analysis, (2) calculate the similarity of the pressure profiles between target case and each of source cases in case database using the nearest neighbor method, and sort according to the value of similarity, (3) find the case with a maximum of similarity out as the one closest to the target case, and take the process parameters of the most similar case as the solution of the target case according to case modification strategies. This method simplifies the high-dimensional molding features to the pressure profile at the injection location with two-dimensional data features. Experiments show that the new method has a high retrieval accuracy and sensitivity. Moreover, even slight differences in molding can be captured easily.

Original languageEnglish
Pages (from-to)77-89
Number of pages13
JournalJournal of Intelligent Manufacturing
Volume33
Issue number1
DOIs
StatePublished - 01 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords

  • Injection molding
  • Intelligent setting
  • Molding feature
  • Pressure profile
  • Process parameter

Fingerprint

Dive into the research topics of 'Intelligent setting of process parameters for injection molding based on case-based reasoning of molding features'. Together they form a unique fingerprint.

Cite this