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Related Experiment Video

Updated: Mar 9, 2026

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Published on: May 20, 2014

Simulating the hydrodynamics of self-propelled colloidal clusters using Stokesian dynamics.

Yousef M F El Hasadi¹, Martin Crapper²

¹International Centre for Numerical Methods in Engineering (CIMNE) , Edificio C1, Campus Norte, Jordi Girona 1-3, 08034 Barcelona, Spain.

Biomicrofluidics

|January 7, 2017

Summary

Simulations show that self-propelled clusters

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Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

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Published on: February 22, 2018

Area of Science:

Fluid dynamics
Materials science
Biotechnology

Background:

Self-propelled clusters are crucial in material science and biotechnology.
Understanding their fluid interactions is vital for technological applications.

Purpose of the Study:

To investigate the swimming velocity and energy dissipation of self-propelled clusters.
To analyze the influence of cluster size and fractal dimension on their dynamics.

Main Methods:

Stokesian dynamics simulations were employed.
Simulations involved diffusion-limited aggregate clusters of 100-400 spherical particles.
Explicit gait velocity was imposed in various directions.

Main Results:

Swimming velocity and energy dissipation depend on particle number, fractal dimension, and gait orientation.
Rotational velocity decreases with increasing particle count, matching experimental findings.

Conclusions:

Cluster dynamics are sensitive to structural properties and propulsion strategy.
Simulation results align with experimental observations, validating the model.