Optimisation of composite manufacturing processes with computer experiments and Kriging methods

Kan Wang, Chuck Zhang, Jack Su, Ben Wang, Ying Hung

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This paper deals with the use of Kriging models in multi-objective optimisation of composite manufacturing processes. A comparative analysis of different optimisation methods was conducted for a case study devoted to resin transfer moulding (RTM) processes. The computerised experiments of composite manufacturing were based on a numerical simulation model of the RTM process. A Latin Hypercube Design (LHD) of the computer experiments was adopted. The computational results from the designed experiments were analysed and a Kriging model was built from the data. Finally, a data envelopment analysis (DEA) was conducted, based on the data generated from the Kriging model to optimise the RTM process. The overall performance of this method was evaluated.

Original languageEnglish (US)
Pages (from-to)216-226
Number of pages11
JournalInternational Journal of Computer Integrated Manufacturing
Volume26
Issue number3
DOIs
StatePublished - 2013

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Mechanical Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Keywords

  • Design of experiment
  • Kriging model
  • Optimisation
  • Resin transfer moulding

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