Static Analysis of a Composite Box Plate with Functionally Graded Foam Core
Journal of Manufacturing and Materials Processing 2025
Andrejs Kovaļovs

In functionally graded polymer foam, mechanical properties and chemical composition vary in a prescribed direction according to a power law distribution. However, most manufacturing methods lack precise control over pore size, limiting their application. In this case, the graded foam structure can be formed from separate layers, with each layer assigned unique values in terms of mechanical properties or chemical composition based on the power law distribution. The hypothesis of the work is that the application of functionally graded (FG) foam materials inside the rotor blades or wings of an unmanned aerial vehicle can provide the ability to vary their stiffness properties. The aim of this work is to conduct an investigation of the static behaviour of a composite box plate with constant and variable heights that simulate the dimensions and changing profile of a helicopter rotor blade. In the numerical analysis, two models of composite box plate are considered and the material properties of graded polymeric foam core are assumed to vary continuously by the power law along the width of cross-sectional structures. It is not possible to model the continuous flow of graded properties through the foam in construction; therefore, the layers of foam are modelled using discontinuous gradients, where the gradient factor changes step by step. The numerical results are obtained using ANSYS software. The results of the numerical calculation showed that the use of graded foam affects the parameters under study. The stiffness of a structure significantly decreases with an increase in the power law index.


Atslēgas vārdi
functionally graded foam; numerical simulation; static analysis
DOI
10.3390/jmmp9070209
Hipersaite
https://www.mdpi.com/2504-4494/9/7/209

Kovaļovs, A. Static Analysis of a Composite Box Plate with Functionally Graded Foam Core. Journal of Manufacturing and Materials Processing, 2025, Vol. 9, No. 7, Article number 209. e-ISSN 2504-4494. Pieejams: doi:10.3390/jmmp9070209

Publikācijas valoda
English (en)
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