Optimisation of micro injection moulding process through design of experiments

M. Packianather*, F. Chan, C. Griffiths, S. Dimov, D. T. Pham

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

The paper presents the optimisation of Micro Injection Moulding (MIM) process through Design of Experiments (DoE). MIM is a relatively new technology which is used for the rapid manufacture of micro components. In order to meet the quality and reliability constraints it is important to reduce variability during its operation due to changes in process parameters. In this study, an understanding of the MIM process and consequently its optimisation is carried out by DoE based on six parameters which influence the surface quality, flow length and the aspect ratio. Significant single process parameters and interactions between them were determined through statistical analysis. For the 2-level test, an aspect ratio of 20, 21, and 20 were achieved respectively for Polypropylene (PP), Acrylonitrile-Butadiene-Styrene (ABS) and Polyoxymethylene (POM).

Original languageEnglish
Pages (from-to)300-305
Number of pages6
JournalProcedia CIRP
Volume12
DOIs
Publication statusPublished - 2013
Externally publishedYes

Keywords

  • Design of experiments (DoE)
  • Fractional factorial
  • Full factorial
  • Micro injection moulding (MIM)
  • Optimal design

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Control and Systems Engineering

Fingerprint

Dive into the research topics of 'Optimisation of micro injection moulding process through design of experiments'. Together they form a unique fingerprint.

Cite this