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

• Published in: Journal of mechanical science and technology Vol. 23; no. 12; pp. 3143 - 3152
• Main Author: Cho, Hee Keun
• Format: Journal Article
• Language: English
• Published: Heidelberg Korean Society of Mechanical Engineers 01.12.2009; Springer Nature B.V; 대한기계학회
• Subjects: 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; 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
• ISSN: 1738-494X; 1976-3824
• DOI: 10.1007/s12206-009-0916-0

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.