Optimal design of the cure cycle for consolidation of thick composite laminates

Ming Hui Chang, Chieh-Li Chen, Wen-Bin Young

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Autoclave cure of the prepreg lay-up has been an importance method for fabrication of advanced fiber reinforced composites in the aerospace industry. Quality of the autoclave cured composite is largely affected by the cure cycle. In this study, the genetic algorithm is applied to design a cure cycle for the consolidation of thick laminated composites. The objective of the design is to select a cure cycle that results in a shorter cycle time for the process while avoiding the thermal runaway inside the composites. The results show that the genetic algorithm is a feasible and robust search algorithm to determine the cure cycle for the consolidation process.

Original languageEnglish
Pages (from-to)743-750
Number of pages8
JournalPolymer Composites
Volume17
Issue number5
DOIs
Publication statusPublished - 1996 Jan 1

Fingerprint

Consolidation
Laminates
Autoclaves
Composite materials
Genetic algorithms
Aerospace industry
Laminated composites
Fabrication
Fibers
Optimal design
Hot Temperature

All Science Journal Classification (ASJC) codes

  • Ceramics and Composites
  • Chemistry(all)
  • Polymers and Plastics
  • Materials Chemistry

Cite this

@article{d90004c4e10e45c18ec13b596f2afc24,
title = "Optimal design of the cure cycle for consolidation of thick composite laminates",
abstract = "Autoclave cure of the prepreg lay-up has been an importance method for fabrication of advanced fiber reinforced composites in the aerospace industry. Quality of the autoclave cured composite is largely affected by the cure cycle. In this study, the genetic algorithm is applied to design a cure cycle for the consolidation of thick laminated composites. The objective of the design is to select a cure cycle that results in a shorter cycle time for the process while avoiding the thermal runaway inside the composites. The results show that the genetic algorithm is a feasible and robust search algorithm to determine the cure cycle for the consolidation process.",
author = "Chang, {Ming Hui} and Chieh-Li Chen and Wen-Bin Young",
year = "1996",
month = "1",
day = "1",
doi = "10.1002/pc.10666",
language = "English",
volume = "17",
pages = "743--750",
journal = "Polymer Composites",
issn = "0272-8397",
publisher = "John Wiley and Sons Inc.",
number = "5",

}

Optimal design of the cure cycle for consolidation of thick composite laminates. / Chang, Ming Hui; Chen, Chieh-Li; Young, Wen-Bin.

In: Polymer Composites, Vol. 17, No. 5, 01.01.1996, p. 743-750.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Optimal design of the cure cycle for consolidation of thick composite laminates

AU - Chang, Ming Hui

AU - Chen, Chieh-Li

AU - Young, Wen-Bin

PY - 1996/1/1

Y1 - 1996/1/1

N2 - Autoclave cure of the prepreg lay-up has been an importance method for fabrication of advanced fiber reinforced composites in the aerospace industry. Quality of the autoclave cured composite is largely affected by the cure cycle. In this study, the genetic algorithm is applied to design a cure cycle for the consolidation of thick laminated composites. The objective of the design is to select a cure cycle that results in a shorter cycle time for the process while avoiding the thermal runaway inside the composites. The results show that the genetic algorithm is a feasible and robust search algorithm to determine the cure cycle for the consolidation process.

AB - Autoclave cure of the prepreg lay-up has been an importance method for fabrication of advanced fiber reinforced composites in the aerospace industry. Quality of the autoclave cured composite is largely affected by the cure cycle. In this study, the genetic algorithm is applied to design a cure cycle for the consolidation of thick laminated composites. The objective of the design is to select a cure cycle that results in a shorter cycle time for the process while avoiding the thermal runaway inside the composites. The results show that the genetic algorithm is a feasible and robust search algorithm to determine the cure cycle for the consolidation process.

UR - http://www.scopus.com/inward/record.url?scp=0030258285&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030258285&partnerID=8YFLogxK

U2 - 10.1002/pc.10666

DO - 10.1002/pc.10666

M3 - Article

VL - 17

SP - 743

EP - 750

JO - Polymer Composites

JF - Polymer Composites

SN - 0272-8397

IS - 5

ER -