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Multiphysics Modeling Framework for Soft PVC Gel Sensors with Experimental Comparisons.

Justin Neubauer¹, Kwang J Kim¹

¹Department of Mechanical Engineering, University of Nevada, Las Vegas, NV 89154, USA.

|February 28, 2023

Summary

This summary is machine-generated.

This study explores mechanoelectrical transduction in polyvinyl chloride (PVC) gels and thermoplastic polyurethane, revealing plasticizer concentration gradients and voltage responses under compression. The findings offer insights into gel sensor mechanisms.

Keywords:

PVC gels electroactive polymers smart materials soft sensors

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Area of Science:

Materials Science
Polymer Science
Electrical Engineering

Background:

Polyvinyl chloride (PVC) gels and thermoplastic polyurethane exhibit mechanoelectrical transduction under compression.
The underlying mechanisms, particularly involving plasticizers, are not fully understood.
This phenomenon is crucial for developing advanced gel sensors.

Purpose of the Study:

To investigate the mechanical and electrical properties of PVC and thermoplastic polyurethane gel sensors.
To propose a mathematical framework explaining the mechanoelectrical transduction mechanisms.
To correlate plasticizer properties with sensor performance.

Main Methods:

Utilized COMSOL Multiphysics for simulating solid mechanics, electrostatics, and plasticizer transport.
Employed a continuum mechanics approach with the Storakers material model for compressive loading.
Incorporated charge conservation and a Langmuir adsorption migration model with variable diffusion.

Main Results:

Demonstrated the influence of plasticizer concentration gradients on sensor behavior.
Predicted voltage responses varying with plasticizer amount and type.
Experimental validation confirmed the accuracy of the proposed mathematical model.

Conclusions:

The study provides a comprehensive mathematical framework for mechanoelectrical transduction in polymer gels.
Plasticizer properties significantly impact the sensing characteristics of these materials.
The findings support the development of novel gel-based sensors for various applications.