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Related Experiment Video

Updated: May 18, 2026

Full-field Strain Measurements for Microstructurally Small Fatigue Crack Propagation Using Digital Image Correlation Method

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Published on: January 16, 2019

Electric-field-induced crack patterns: experiments and simulation.

Tajkera Khatun¹, Moutushi Dutta Choudhury, Tapati Dutta

¹Condensed Matter Physics Research Centre, Physics Department, Jadavpur University, Kolkata 700032, India.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|September 26, 2012

Summary

This summary is machine-generated.

Electric fields influence crack patterns during laponite gel drying. Radial cracks form with outward fields, while cross-radial cracks appear with inward fields, due to laponite accumulation and charge effects.

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Area of Science:

Materials Science
Soft Matter Physics
Colloid Science

Background:

Drying processes in colloidal gels can lead to complex crack patterns.
Electric fields are known to influence the behavior of charged particles in suspensions.

Purpose of the Study:

To investigate the effect of a radial electric field on crack formation during the drying of laponite gel.
To understand the relationship between electric field orientation and the resulting crack morphology.

Main Methods:

Drying a laponite gel sample in a circular petri dish under a radial electric field.
Applying an inward or outward electric field using a central terminal with varying polarity.
Simulating crack formation using a spring model on a square lattice with an added radial force.

Main Results:

A system of radial cracks formed when the central terminal was positive (outward field).
Predominantly cross-radial cracks formed when the central terminal was negative (inward field).
Laponite accumulated near the negative terminal, creating a thicker layer.

Conclusions:

The orientation of the electric field dictates the crack pattern in drying laponite gel.
Laponite platelets' overcharging and subsequent attraction to the negative terminal explain the observed crack morphology.
The simulation results align with experimental observations, validating the model's predictive capability.