Viscoelasticity characterization of compressible soft matter via fluid-mediated dynamic interactions

TL;DR

This paper develops a new theoretical framework for characterizing the viscoelastic properties of soft, compressible materials using fluid-mediated dynamic interactions, addressing limitations of classical elastohydrodynamic models.

Contribution

It introduces a soft-lubrication based model that accurately recovers viscoelastic parameters from experiments, correcting previous inconsistencies related to substrate thickness and oscillation frequency.

Findings

Provides a consistent method for viscoelastic property extraction

Rectifies unphysical dependencies in previous models

Enhances design of bio-engineering materials and experiments

Abstract

Characterizing the softness of deformable materials having partial elastic and partial viscous behaviour via soft lubrication experiments has emerged as a versatile and robust methodology in recent times. However, a straightforward extension of the classical elastohydrodynamic lubrication theory that is commonly employed for characterizing elastic materials turns out to be rather inadequate in explaining the response of such viscoelastic materials subjected to dynamic loading conditions, despite adhering to a mathematically acceptable framework via the complex Young's modulus as a material property. This deficit stems from a non-trivial interplay of the material compressibility and its time-dependent dynamic response under fluid-mediated oscillatory loading typical to surface probing experiments. Here we develop a soft-lubrication based theoretical framework that enables the consistent recovery of viscoelastic model properties of materials from experimental data, independent of the specific loading condition. A major advancement here is the rectification of inconsistencies in viscoelasticity characterization of previously reported models that are typically manifested by unphysical dependencies of the model parameters on the substrate layer thickness and the oscillation frequency of the surface probing apparatus. Our results provide further pointers towards the design of characterization experiments for consistent and specific mapping of the experimental data with the parametric values of the chosen material-model. These findings appear to be imperative in designing and selecting materials for emerging bio-engineering tools including organ-on-a-chip and human body-on-a-chip.