PROJECT TITLE :

New Attenuation Predictive Model for Carbon-Based Nanocomposites

ABSTRACT:

The utilization of carbon nanofibers (CNF) bolstered composites is standard among several industries such as healthcare, aerospace and defense as they have enhanced mechanical and thermal properties. CNF and carbon nanotubes (CNT) within the composites also improve damping and attenuation. We tend to have been investigating its application for scaffold implants in human airways that undergoes vibratory stress and needs weight-sensitive sound proofing. This paper proposes a predictive model for the attenuation of sound waves through the composite that takes into thought the Rayleigh scattering function, absorption, resonance and interfacial friction of the embedded fibers. These factors are passionate about the scale, thickness, density, porosity, Young Modulus and volume fraction of the nanofibers or nanotubes. CNF bolstered poly-di-methyl-siloxane (PDMS) and single-walled CNT strengthened PDMS composites were investigated. Ultrasonic testing and measurement of sound wave attenuations through the fabric were done to validate the proposed model and results are shown to be consistent.


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