Intermittent Peel Front Dynamics and the Crackling Noise in an Adhesive Tape

TL;DR

This paper models the intermittent peeling of adhesive tape and analyzes experimental acoustic emissions, revealing chaotic dynamics and linking the peel front patterns to acoustic energy dissipation.

Contribution

It introduces a nonlinear dynamic model of tape peeling that connects peel front patterns with acoustic emission and demonstrates chaos in experimental signals.

Findings

Peel front exhibits diverse spatiotemporal patterns.

Acoustic emission can be deterministic and chaotic.

Model and experimental signals show chaos within certain pull speeds.

Abstract

We report a comprehensive investigation of a model for peeling of an adhesive tape along with a nonlinear time series analysis of experimental acoustic emission signals in an effort to understand the origin of intermittent peeling of an adhesive tape and its connection to acoustic emission. The model represents the acoustic energy dissipated in terms of Rayleigh dissipation functional that depends on the local strain rate. We show that the nature of the peel front exhibits rich spatiotemporal patterns ranging from smooth, rugged and stuck-peeled configurations that depend on three parameters, namely, the ratio of inertial time scale of the tape mass to that of the roller, the dissipation coefficient and the pull velocity. The stuck-peeled configurations are reminiscent of fibrillar peel front patterns observed in experiments. We show that while the intermittent peeling is controlled by the peel force function, the model acoustic energy dissipated depends on the nature of the peel front and its dynamical evolution. Even though the acoustic energy is a fully dynamical quantity, it can be quite noisy for a certain set of parameter values suggesting the deterministic origin of acoustic emission in experiments. To verify this suggestion, we have carried out a dynamical analysis of experimental acoustic emission time series for a wide range of traction velocities. Our analysis shows an unambiguous presence of chaotic dynamics within a subinterval of pull speeds within the intermittent regime. Time series analysis of the model acoustic energy signals is also found to be chaotic within a subinterval of pull speeds.