Modelling compression sensing in ionic polymer metal composites

Valentina Volpini, Lorenzo Bardella, Andrea Rodella, Youngsu Cha, Maurizio Porfiri

Research output: Contribution to journalArticle

Abstract

Ionic polymer metal composites (IPMCs) consist of an ionomeric membrane, including mobile counterions, sandwiched between two thin noble metal electrodes. IPMCs find application as sensors and actuators, where an imposed mechanical loading generates a voltage across the electrodes, and, vice versa, an imposed electric field causes deformation. Here, we present a predictive modelling approach to elucidate the dynamic sensing response of IPMCs subject to a time-varying through-the-thickness compression ('compression sensing'). The model relies on the continuum theory recently developed by Porfiri and co-workers, which couples finite deformations to the modified Poisson-Nernst-Planck (PNP) system governing the IPMC electrochemistry. For the 'compression sensing' problem we establish a perturbative closed-form solution along with a finite element (FE) solution. The systematic comparison between these two solutions is a central contribution of this study, offering insight on accuracy and mathematical complexity. The method of matched asymptotic expansions is employed to find the analytical solution. To this end, we uncouple the force balance from the modified PNP system and separately linearise the PNP equations in the ionomer bulk and in the boundary layers at the ionomer-electrode interfaces. Comparison with FE results for the fully coupled nonlinear system demonstrates the accuracy of the analytical solution to describe IPMC sensing for moderate deformation levels. We finally demonstrate the potential of the modelling scheme to accurately reproduce experimental results from the literature. The proposed model is expected to aid in the design of IPMC sensors, contribute to an improved understanding of IPMC electrochemomechanical response, and offer insight into the role of nonlinear phenomena across mechanics and electrochemistry.

Original languageEnglish (US)
Article number035030
JournalSmart Materials and Structures
Volume26
Issue number3
DOIs
StatePublished - Feb 13 2017

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Polymers
Compaction
Metals
composite materials
Composite materials
polymers
metals
Ionomers
Electrochemistry
electrochemistry
Electrodes
electrodes
sensors
Sensors
Precious metals
nonlinear systems
noble metals
Nonlinear systems
boundary layers
Mechanics

Keywords

  • electrochemistry
  • finite deformations
  • finite element method
  • ionic polymer metal composites
  • matched asymptotic expansions
  • sensing

ASJC Scopus subject areas

  • Signal Processing
  • Atomic and Molecular Physics, and Optics
  • Civil and Structural Engineering
  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Electrical and Electronic Engineering

Cite this

Modelling compression sensing in ionic polymer metal composites. / Volpini, Valentina; Bardella, Lorenzo; Rodella, Andrea; Cha, Youngsu; Porfiri, Maurizio.

In: Smart Materials and Structures, Vol. 26, No. 3, 035030, 13.02.2017.

Research output: Contribution to journalArticle

Volpini, Valentina ; Bardella, Lorenzo ; Rodella, Andrea ; Cha, Youngsu ; Porfiri, Maurizio. / Modelling compression sensing in ionic polymer metal composites. In: Smart Materials and Structures. 2017 ; Vol. 26, No. 3.
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