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

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.