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Design of A Flexible Liquid Metal Tactile Sensor Based on Finite Element Analysis for Pressure and Motion Detection

Zhou Zhao, Xiaoyang Zou, Jing Zhang, King Wai Chiu Lai*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

35 Downloads (CityUHK Scholars)

Abstract

Liquid metals (LMs) have emerged as prominent materials for flexible pressure sensing owing to their exceptional conductivity and fluidity. Typically, external loads induce changes in the shape and volume of conductive LM pathways to achieve pressure detection. To optimize sensor's pressure sensitivity, theoretical modeling and finite element simulations are employed to investigate the effects of microchannel thickness and patterns. Results revealed that symmetrical patterns and thinner microchannels significantly enhanced sensor's pressure sensitivity. Furthermore, a novel polyvinyl alcohol (PVA) sacrificial template method is proposed that enables the flexible fabrication of microchannels with various shapes and thicknesses, achieving a minimum channel thickness of 25 µm. The LM sensor demonstrates excellent performance metrics, including a maximum sensitivity of 0.01212 kPa−1, a wide detection range from 0 to 60 kPa, and remarkable cyclic stability up to 3000 cycles. In practical applications, the sensor enables high-precision monitoring of various human movements, whereas sensor arrays can effectively detect force distributions across different objects. This paper presents a straightforward and efficient approach for regulating and designing conductive microchannel paths. Additionally, the integration of finite element simulations facilitates optimal sensor pattern design, and the fabricated sensors show tremendous potential for applications in pressure recognition and motion detection. © 2025 The Author(s).
Original languageEnglish
Article number2500124
JournalAdvanced Electronic Materials
Volume11
Issue number13
Online published23 May 2025
DOIs
Publication statusPublished - 20 Aug 2025

Funding

This work was partially supported by grants from the Research Grant Council of the Hong Kong Special Administrative Region Government (TBRS Grant T42-717/20-R and CRF Grant C7100-22G).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

  • liquid metal
  • motion detection
  • pressure sensors
  • pressure recognition

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

RGC Funding Information

  • RGC-funded

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