Optimization and simulation of PVDF and CNT Nanocomposites as Artificial Basilar Membrane

Abstract

The human ear is a sensor that is capable of sensing sound waves in terms of pressure over ten
octaves of frequency and converting it to electric impulse to the brain for perception. Here we model and
simulate a biophysical analysis by an active one dimensional acoustic piezoelectric materials whose
properties are tailored and functionalized using nano dopants such as Carbon Nano Tubes to mimic the
function of cochlea of the inner ear which is major role in hearing of sound. By introducing the
functionalized nanoparticles the tonotopy in terms of frequency and low amplitude signal propagation along
the cochlea as an array of micro resonator is reproduced. The geometry of the membrane is optimized using
green wood function to tune to the frequencies of audible range. An optimized design is proposed
incorporating the carbon nanotubes in the PVDF matrix. The design optimization of the geometry and nano
dopants provide 6 resonant frequencies dominant in the Z plane for displacements of 15nm which is
required to activate the tectorial membrane and hence the signal is reached to the auditory nerve.
Keywords: Microelectromechanical system (MEMS), resonators, Artificial Basilar Membrane(ABM),
PVDF Poly vinyldenefluoride