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Studying Stress and Conductivity Relaxations of CNT-Infused Rubber Materials

ORAL

Abstract

Stress relaxation experiments are important to study polymer properties. We are focused on the parallel study of stress relaxation and conductivity relaxation in carbon nanotube (CNT) infused rubber composites. Observations of relaxations are essential for predicting future behavior, as the polymers retain memory in the form of elastic deformations with slow relaxation times. We constructed a specialized device for stress relaxation experiments. Our device applies calibrated strain in the form of stretching and measures conductivity and force responses over time. The setup is housed in an isothermal chamber whereby a proportional-integral controller maintains constant temperatures. Initial ambient temperature data shows clear force fluctuations corresponding to room temperature changes throughout a day. The several weeks of data needed to observe important relaxation features are thus only possible in the absence of temperature fluctuations. With this system, stress-relaxation data of various samples are obtained and compared with polymers of various CNT compositions. The setup design and relaxation data will be shown to demonstrate the measurement technique, the scales by which these relaxations occur, and how the force and conductivity relaxations of similar polymers compare.

Presenters

  • Claire Onsager

    Northwestern University Department of Electrical and Computer Engineering

Authors

  • Claire Onsager

    Northwestern University Department of Electrical and Computer Engineering

  • Can C Aygen

    Northwestern University, Northwestern University Department of Electrical and Computer Engineering

  • Sahar Meir

    Tel Aviv University, Department of Materials Science and Engineering

  • Lev Rovinsky

    Tel Aviv University, Department of Materials Science and Engineering

  • Noa Lachman Senesh

    Tel Aviv University, Department of Materials Science and Engineering

  • Matthew Grayson

    Northwestern University, Northwestern University Department of Electrical and Computer Engineering