Simulation of material removal in mould polishing for polymer optic replication

Rui Almeida*, Rainer Börret, Wolfgang Rimkus, David K. Harrison, Anjali De Silva

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The quality of injection moulded polymer optic parts depends on the surface finish of the respective mould. The aim of this research is to predict the material removal that occurs during the polishing process and hence control the surface finish of steel moulds. Eight to fourteen parameters affect the material removal during the polishing process. A finite element simulation model, based on abrasive wear theory, is developed to predict the removal of material and thus the final surface topology. This simulation model will eliminate the iterative trial and error polishing, thus facilitating fast and accurate mould production.

Original languageEnglish
Title of host publicationAdvances in Manufacturing Technology XXX: Proceedings of the 14th International Conference on Manufacturing Research, ICMR2016 - Incorporating the 31st National Conference on Manufacturing Research
EditorsYee Mey Goh, Keith Case
PublisherIOS Press
Pages49-54
Number of pages6
ISBN (Electronic)9781614996682
ISBN (Print)9781614996675
DOIs
Publication statusPublished - 8 Sep 2016
Event14th International Conference on Manufacturing Research, Incorporating the 31st National Conference on Manufacturing Research - University of Loughborough, Loughborough, United Kingdom
Duration: 6 Sep 20168 Sep 2016

Publication series

NameAdvances in Transdisciplinary Engineering
Volume3

Conference

Conference14th International Conference on Manufacturing Research, Incorporating the 31st National Conference on Manufacturing Research
Abbreviated titleICMR 2016
Country/TerritoryUnited Kingdom
CityLoughborough
Period6/09/168/09/16

Keywords

  • FE simulation
  • Mould polishing
  • Surface finish

ASJC Scopus subject areas

  • Computer Science Applications
  • Industrial and Manufacturing Engineering
  • Software
  • Algebra and Number Theory
  • Strategy and Management

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