FURI | Spring 2022

Statistical Analysis of Multiwalled Carbon Nanotube Network Properties in Low Weight Percentage Nanocomposite Materials

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The network properties of multiwalled carbon nanotubes in low weight percentage nanocomposites have never been investigated before. Atomic Force Microscopy (AFM) based Peak Force Quantitative Nanomechanical Mapping (PFQNM) was employed to study the network properties of multiwalled carbon nanotubes in low weight percentage (0.1 wt% to 1 wt%) nanocomposite materials. The data collected will be analyzed using the Weibull analysis model. Studying the variance in network properties of multiwalled carbon nanotubes in low weight percentage nanocomposite materials would impact the nanoscale characterization of particle composites and help in the safe manufacturing of products.

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Student researcher

Sasha Oswald

Mechanical engineering

Hometown: Mumbai, India

Graduation date: Spring 2023