Impacting Fuelling Dynamics Towards Tunable Liquid Metal Machine

ABSTRACT Self‐propelled liquid metal‐aluminium hybrid machines represent a promising class of autonomous motion systems capable of sustained movement without external power sources. While interactions between machines and their environment inevitably occur, the fundamental question of how spatial confinement affects the motion dynamics and the controllability of speed, direction and lifetime of such liquid metal machines (LMMs) remains underexplored. Understanding these confined dynamics is essential for practical applications. Here, we present a comprehensive investigation of the non‐symmetrical fuelling principle governing the direction‐tuning effect in LMMs. By confining LMMs within one‐dimensional semi‐open channels, we thoroughly disclose their impact and turning dynamics with different end obstacles throughout their lifecycle, with particular focus on fuel region morphological evolution, overall motion and local flow characteristics after reaction times exceeding one hour. Utilising ultra‐high‐speed imaging techniques, we systematically clarify how fuel region evolution and end‐obstacle interactions influence symmetry‐breaking mechanisms and reciprocating dynamics. Our findings reveal complex interactions between material properties, charge transfer processes and fluid dynamics during end‐turning processes, establishing a theoretical foundation for LMM driving dynamics. Beyond the theoretical mechanisms, we further demonstrate that LMM exhibits efficient heat and mass transfer capabilities, paving the way for applications in controlled transport systems and autonomous robotics.

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Publication Details

Journal
Exploration
Published
2026-10-06
DOI
https://doi.org/10.1002/exp2.70227
Primary Topic
Micro and Nano Robotics
Type
article
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article

Impacting Fuelling Dynamics Towards Tunable Liquid Metal Machine

Jing Liu, Ju Wang, Minghui Guo, Jingyi Li et al.
Exploration
Micro and Nano Robotics
article

Impacting Fuelling Dynamics Towards Tunable Liquid Metal Machine

Jing Liu, Ju Wang, Minghui Guo, Jingyi Li, Xi Zhao
article en

Abstract

ABSTRACT Self‐propelled liquid metal‐aluminium hybrid machines represent a promising class of autonomous motion systems capable of sustained movement without external power sources. While interactions between machines and their environment inevitably occur, the fundamental question of how spatial confinement affects the motion dynamics and the controllability of speed, direction and lifetime of such liquid metal machines (LMMs) remains underexplored. Understanding these confined dynamics is essential for practical applications. Here, we present a comprehensive investigation of the non‐symmetrical fuelling principle governing the direction‐tuning effect in LMMs. By confining LMMs within one‐dimensional semi‐open channels, we thoroughly disclose their impact and turning dynamics with different end obstacles throughout their lifecycle, with particular focus on fuel region morphological evolution, overall motion and local flow characteristics after reaction times exceeding one hour. Utilising ultra‐high‐speed imaging techniques, we systematically clarify how fuel region evolution and end‐obstacle interactions influence symmetry‐breaking mechanisms and reciprocating dynamics. Our findings reveal complex interactions between material properties, charge transfer processes and fluid dynamics during end‐turning processes, establishing a theoretical foundation for LMM driving dynamics. Beyond the theoretical mechanisms, we further demonstrate that LMM exhibits efficient heat and mass transfer capabilities, paving the way for applications in controlled transport systems and autonomous robotics.

Exploration
Tianjin University of Technology and Education (CN), Tianjin University of Technology (CN), Technical Institute of Physics and Chemistry (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 22%
Micro and Nano Robotics
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Impacting Fuelling Dynamics Towards Tunable Liquid Metal Machine — Jing Liu, Ju Wang, et al. · Exploration (2026) | TGRS Research Map | TGRS