Ply stacking sequence optimization of composite driveshaft using particle swarm optimization algorithm

In this paper an attempt has been made to optimize ply stacking sequence of single piece E-Glass/Epoxy, HM Carbon/Epoxy and Boron/Epoxy composite drive shafts using particle swarm optimization (PSOA). PSOA programme is developed using MATLAB V 7 to optimize the ply stacking sequence with an objectiv...

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Bibliographic Details
Published inInternational journal for simulation and multidisciplinary design optimization Vol. 5; p. A16
Main Authors Manjunath, K., Rangaswamy, T.
Format Journal Article
LanguageEnglish
Published Les Ulis EDP Sciences 2014
Subjects
Boron-epoxy composites
Carbon-epoxy composites
Composite driveshaft
E glass
Genetic algorithms
Glass fiber reinforced plastics
MATLAB
Optimization
Particle swarm optimization
Ply stacking
Ply stacking sequence
PSOA
Shafts (machine elements)
Stacking sequence (composite materials)
Weight reduction
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ISSN1779-627X
1779-6288
1779-6288
DOI10.1051/smdo/2013001

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Summary:In this paper an attempt has been made to optimize ply stacking sequence of single piece E-Glass/Epoxy, HM Carbon/Epoxy and Boron/Epoxy composite drive shafts using particle swarm optimization (PSOA). PSOA programme is developed using MATLAB V 7 to optimize the ply stacking sequence with an objective of weight minimization. The weight savings of the E-Glass/Epoxy, HM Carbon/Epoxy and Boron/Epoxy shaft are 51%, 87% and 85% of the steel shaft respectively. The optimum results of PSOA obtained are compared with results of genetic algorithm (GA) and found that PSOA yields better results than GA.
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publisher-ID:smdo130001
dkey:10.1051/smdo/2013001
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SourceType-Scholarly Journals-1
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content type line 14
ISSN:1779-627X
1779-6288
1779-6288
DOI:10.1051/smdo/2013001