Maximizing structure performances of a sandwich panel with hybrid composite skins using particle swarm optimization algorithm

A sandwich panel, composed of hybrid laminate skins of AL (aluminum)-CFRP-GFRP and aluminum honeycomb core, was optimized for maximizing the structural performance. Stacking sequence of the three different materials comprising the hybrid laminate skins and individual ply angles are taken as design v...

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Published inJournal of mechanical science and technology Vol. 23; no. 12; pp. 3143 - 3152
Main Author Cho, Hee Keun
Format Journal Article
LanguageEnglish
Published Heidelberg Korean Society of Mechanical Engineers 01.12.2009
Springer Nature B.V
대한기계학회
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ISSN1738-494X
1976-3824
DOI10.1007/s12206-009-0916-0

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Abstract A sandwich panel, composed of hybrid laminate skins of AL (aluminum)-CFRP-GFRP and aluminum honeycomb core, was optimized for maximizing the structural performance. Stacking sequence of the three different materials comprising the hybrid laminate skins and individual ply angles are taken as design variables in the present optimization problem. Synergizing a particle swarm optimization (PSO) algorithm method with a specially developed FEM program enables one to optimally decide the design variables and thereby significantly improve the sandwich performance. The present technique applying PSO to a hybrid sandwich in conjunction with FEA has extended the application area of optimization with a complex honeycomb sandwich that is not possible by the conventional method.
AbstractList A sandwich panel, composed of hybrid laminate skins of AL (aluminum)-CFRP-GFRP and aluminum honeycomb core, was optimized for maximizing the structural performance. Stacking sequence of the three different materials comprising the hybrid laminate skins and individual ply angles are taken as design variables in the present optimization problem. Synergizing a particle swarm optimization (PSO) algorithm method with a specially developed FEM program enables one to optimally decide the design variables and thereby significantly improve the sandwich performance. The present technique applying PSO to a hybrid sandwich in conjunction with FEA has extended the application area of optimization with a complex honeycomb sandwich that is not possible by the conventional method.[PUBLICATION ABSTRACT]
A sandwich panel, composed of hybrid laminate skins of AL (aluminum)-CFRP-GFRP and aluminum honeycomb core, was optimized for maximizing the structural performance. Stacking sequence of the three different materials comprising the hybrid laminate skins and individual ply angles are taken as design variables in the present optimization problem. Synergizing a particle swarm optimization (PSO) algorithm method with a specially developed FEM program enables one to optimally decide the design variables and thereby significantly improve the sandwich performance. The present technique applying PSO to a hybrid sandwich in conjunction with FEA has extended the application area of optimization with a complex honeycomb sandwich that is not possible by the conventional method.
A sandwich panel, composed of hybrid laminate skins of AL (aluminum)-CFRP- GFRP and aluminum honeycomb core, was optimized for maximizing the structural performance. Stacking sequence of the three different materials comprising the hybrid laminate skins and individual ply angles are taken as design variables in the present optimization problem. Synergizing a particle swarm optimization (PSO) algorithm method with a specially developed FEM program enables one to optimally decide the design variables and thereby significantly improve the sandwich performance. The present technique applying PSO to a hybrid sandwich in conjunction with FEA has extended the application area of optimization with a complex honeycomb sandwich that is not possible by the conventional method. KCI Citation Count: 1
Author Cho, Hee Keun
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Issue 12
Keywords Sandwich
Composite material
Finite element analysis (FEA)
Optimization
Stratified material
Sandwich structure
Aluminium
Modeling
Particle swarm optimization
Hybrid composite
Graphite fiber
Finite element method
Glass fiber reinforced plastics
Fibre reinforced plastics
Swarm intelligence
Carbon fiber reinforced plastics
Glass fiber
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Snippet A sandwich panel, composed of hybrid laminate skins of AL (aluminum)-CFRP-GFRP and aluminum honeycomb core, was optimized for maximizing the structural...
A sandwich panel, composed of hybrid laminate skins of AL (aluminum)-CFRP- GFRP and aluminum honeycomb core, was optimized for maximizing the structural...
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SubjectTerms Algorithms
Applied sciences
Composites
Control
Dynamical Systems
Engineering
Exact sciences and technology
Finite element method
Forms of application and semi-finished materials
Fundamental areas of phenomenology (including applications)
Industrial and Production Engineering
Laminates
Mathematical models
Mechanical Engineering
Optimization
Optimization algorithms
Particulate composites
Physics
Polymer industry, paints, wood
Sandwich construction
Solid mechanics
Stacking
Structural and continuum mechanics
Studies
Technology of polymers
Vibration
기계공학
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Title Maximizing structure performances of a sandwich panel with hybrid composite skins using particle swarm optimization algorithm
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