Stochastic Dynamic Analysis of a Three-Tailed Helical Microrobot in Confined Spaces DOI Creative Commons
X. Shi, Yongge Li, Kheder Suleiman

et al.

Micromachines, Journal Year: 2025, Volume and Issue: 16(4), P. 373 - 373

Published: March 25, 2025

This study investigates the complex dynamic behavior of three-tailed helical microrobots operating in confined spaces. A stochastic model has been developed to analyze effects input angular velocity, current, fluid viscosity, and channel width on their motion trajectories, mean squared displacement (MSD), wobbling rate. The results indicate that Gaussian white noise exerts a dispersive driving effect characteristics microrobots, leading 49% reduction velocity compared deterministic conditions. Additionally, time required for traverse from initial position bifurcation point decreases by 65% when current is increased 39% viscosity reduced. These findings underscore importance optimizing control parameters effectively mitigate impacts, enhancing practical performance real-world applications. research offers solid theoretical support guidance deployment environments.

Language: Английский

Stochastic Dynamic Analysis of a Three-Tailed Helical Microrobot in Confined Spaces DOI Creative Commons
X. Shi, Yongge Li, Kheder Suleiman

et al.

Micromachines, Journal Year: 2025, Volume and Issue: 16(4), P. 373 - 373

Published: March 25, 2025

This study investigates the complex dynamic behavior of three-tailed helical microrobots operating in confined spaces. A stochastic model has been developed to analyze effects input angular velocity, current, fluid viscosity, and channel width on their motion trajectories, mean squared displacement (MSD), wobbling rate. The results indicate that Gaussian white noise exerts a dispersive driving effect characteristics microrobots, leading 49% reduction velocity compared deterministic conditions. Additionally, time required for traverse from initial position bifurcation point decreases by 65% when current is increased 39% viscosity reduced. These findings underscore importance optimizing control parameters effectively mitigate impacts, enhancing practical performance real-world applications. research offers solid theoretical support guidance deployment environments.

Language: Английский

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