Conducting interpenetrating polymer network to sense and actuate: Measurements and modeling

Tien Anh Nguyen, Chia Ju Peng, Kätlin Rohtlaid, Cédric Plesse, Tran Minh Giao Nguyen, Frédéric Vidal, Shih Jui Chen, Luc Chassagne, Barthélemy Cagneau

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

This paper deals with conducting interpenetrating polymers networks (C-IPN). This class of polymers enables us to actuate and sense with the same material. It is of great interest when system integration or limited workspace are an issue. The C-IPNs allow for large displacements under low voltages (typically up to 5 V) with a reversible process. In this work, we are mainly interested in the modeling of the polymer because of its particular behavior. Experimental results are provided to better understand the behavior of the C-IPN. Based on these results, analytical functions are derived in order to predict both sensor and actuator voltage outputs with a good correlation regarding experimental data. These functions are required to use and control the C-IPNs for future applications.

Original languageEnglish
Pages (from-to)325-333
Number of pages9
JournalSensors and Actuators, A: Physical
Volume272
DOIs
StatePublished - 1 Apr 2018

Keywords

  • Conducting polymers
  • Soft robotics
  • Soft sensors

Fingerprint

Dive into the research topics of 'Conducting interpenetrating polymer network to sense and actuate: Measurements and modeling'. Together they form a unique fingerprint.

Cite this