Multiphysics-Multiscale Model Implementation for Thermoacoustic Response Prediction of Plant Fibre-Reinforced Hybrid Polymer Composite-An Experimental Verification

Abstract

In this research a multiphysics-multiscale material model in the framework of higher-order polynomial displacement model has been developed to predict the vibroacoustic responses of fruit-extracted natural fibre (spongy Luffa cylindrica) and nanotube-reinforced polymeric hybrid composite with and without temperature effect. To achieve the objective a coupled FEM-BEM algorithm is derived for the evaluation of the thermoacoustic responses via the proposed higher-order mathematical model. Moreover, the proposed algorithm is designed to take care of the structural modelling and its surrounding fluid with the help of an isoparametric finite element and boundary element in association with the necessary coupling effects. Also, the material model is so generic that it can predict the responses on a macro mechanical scale, including each scale effect of different fibre dimensions (Luffa and nanotube). The general baffled system governing differential equation is derived with the help of Hamilton’s principle (eigenvalue) in combination with Helmholtz’s wave equation. The sound data (radiation efficiency and sound pressure level) are obtained by solving the system equation for different ranges of frequencies. Additionally, the derived numerical model accuracy has been verified for a few alkalies-treated natural fibrereinforced composite components fabricated with and without the inclusion of the multiwall-carbon nanotube (MWCNT) plate components for experimental testing. Also, a few experiments are carried out for the natural frequencies and the sound parameters, including their experimental elastic properties. Before the thermoacoustic analysis, the thermal buckling load parameters has been evaluated and the critical temperature of the hybrid composite is Tcr = 47.9°C. After the adequate numbers of comparisons with and without temperature effect (numerical/experimental), the model is engaged for different influential parametric analyses. In conclusion, the effects of one or more prominent design input data affecting the thermoacoustic responses have been explored using the multidimensional material model. Further, a few critical applicability, including the model proficiencies, is engraved suitably according to the present solution and its future orientations.