Genetic algorithm-based optimization of fiber orientation in VAT composite plates for maximum thermal buckling temperature

Document Type

Article

Publication Title

Polymers and Polymer Composites

Abstract

This study presents an optimization framework to enhance the thermal buckling temperature of a variable angle tow (VAT) laminated composite plate. A finite element model is formulated using first-order shear deformation theory and eight-nodes iso-parametric elements. The developed model is validated by comparing the results of the present model with the existing benchmark solution. A genetic algorithm is employed to optimize the fibre’s path using MATLAB. The effect of geometric and material characteristics, such fiber orientation, aspect ratio, boundary conditions, material anisotropy, and thermal expansion coefficients is extensively examined. The results show that finite element-based optimization can improve the critical buckling temperature by up to 111.76%. These insights are valuable for the efficient structural design of variable-angle tows composite plates, offering potential benefits for various engineering applications.

DOI

10.1177/09673911251374789

Publication Date

1-1-2025

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