Paper
30 March 2012 Carbon nanotube based composite fibers for strain sensing, signal processing, and computing
Harsh Vardhan, D. Roy Mahapatra
Author Affiliations +
Abstract
Carbon nanotubes dispersed in polymer matrix have been aligned in the form of fibers and interconnects and cured electrically and by UV light. Conductivity and effective semiconductor tunneling against reverse to forward bias field have been designed to have differentiable current-voltage response of each of the fiber/channel. The current-voltage response is a function of the strain applied to the fibers along axial direction. Biaxial and shear strains are correlated by differentiating signals from the aligned fibers/channels. Using a small doping of magnetic nanoparticles in these composite fibers, magneto-resistance properties are realized which are strong enough to use the resulting magnetostriction as a state variable for signal processing and computing. Various basic analog signal processing tasks such as addition, convolution and filtering etc. can be performed. These preliminary study shows promising application of the concept in combined analog-digital computation in carbon nanotube based fibers. Various dynamic effects such as relaxation, electric field dependent nonlinearities and hysteresis on the output signals are studied using experimental data and analytical model.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Harsh Vardhan and D. Roy Mahapatra "Carbon nanotube based composite fibers for strain sensing, signal processing, and computing", Proc. SPIE 8344, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2012, 834409 (30 March 2012); https://doi.org/10.1117/12.918102
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KEYWORDS
Magnetism

Resistance

Signal processing

Sensors

Carbon nanotubes

Iron

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