Batch optimization algorithm for autoclave curing of fiber-reinforced composites

T. R. Philipp, T. P. Klein, G. Reinhart

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Composite materials in terms of fiber-reinforced plastics (FRP) are used as lightweight materials in various products for example airplanes or helicopters. The manufacturing of high performance carbon fiber-reinforced plastic (CFRP) parts in the aeronautics industry often relies on preimpregnated fibers (prepregs) which are cured in an autoclave. In this context, the production output mainly is determined by the autoclave being a bottleneck in production. To address this issue, we present a novel approach to model a batch optimization problem in the context of composites manufacturing and then introduce a batch optimization algorithm based on the principle of a genetic algorithm. Furthermore, a simulation study, which is used to assess the performance of the proposed algorithm, is described.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012
PublisherIEEE Computer Society
Pages438-443
Number of pages6
ISBN (Print)9781467329453
DOIs
StatePublished - 2012
Event2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012 - Hong Kong, China
Duration: 10 Dec 201213 Dec 2012

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012
Country/TerritoryChina
CityHong Kong
Period10/12/1213/12/12

Keywords

  • Batch optimization
  • Prepreg manufacturing system
  • Production modeling

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