Part mass and shrinkage in micro injection moulding: statistical based optimisation using multiple quality criteria
Date
2013-09-30T00:00:00Z
Supervisor/s
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Science B.V., Amsterdam.
Department
Type
Article
ISSN
0142-9418
Format
Free to read from
Citation
D. Annicchiarico, U.M. Attia, J.R. Alcock, Part mass and shrinkage in micro injection moulding: statistical based optimisation using multiple quality criteria, Polymer Testing, Volume 32, Issue 6, 2013, Pages 1079-1087.
Abstract
Purpose: The aim of this paper is to optimise process conditions in micro injection moulding (m-IM) to minimise shrinkage whilst maximising part mass. Method: A Design of Experiment (DoE) approach was implemented for studying the effect of five processing parameters on shrinkage and part mass. A multiple quality criteria based analysis was used to optimise the process. Results: Significant factors were found for shrinkage and part mass. Conclusions: The multi quality criteria could be optimized, and this optimization validated experimentally.
Description
Software Description
Software Language
Github
Keywords
Part mass Shrinkage Micro injection moulding Optimization Multiple quality criteria
DOI
Rights
NOTICE: this is the author’s version of a work that was accepted for publication in Polymer Testing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Polymer Testing, VOL 32, ISSUE 6, (2013) DOI: 10.1016/j.polymertesting.2013.06.009