An EIT-based piezoresistive sensing skin with a lattice structure

Jamshidi, Mohammadamin; Park, Chul; Azhari, Fae

doi:10.1016/j.matdes.2023.112227

Cited by 6 publications

(2 citation statements)

References 55 publications

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“…The need for surface sensors is prevalent in many fields. The quickly developing field of robotics requires novel smart surface sensors for pressure and tactile sensing, e.g., for human-robot interactions and safety concerns [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. Similar sensing is required in some biomedical applications [2].…”

Section: Introductionmentioning

confidence: 99%

“…It is an imaging method where the conductivity distribution of a target is estimated based on current and voltage measurements on the surface of the target. EIT-based sensing skins have already been studied in detecting the cracking and fatigue of concrete [24] and steel [25], composite material damage and strain [26][27][28][29][30][31][32][33][34], pH [35], surface pressure [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] and temperature [36].…”

Section: Introductionmentioning

confidence: 99%

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A Coupled Double-Layer Electrical Impedance Tomography-Based Sensing Skin for Pressure and Leak Detection

Kuusela,

Seppänen

2024

Sensors

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There is an extensive need for surface sensors for applications such as tactile sensing for robotics, damage and strain detection for structural health monitoring and leak detection for buried structures. One type of surface sensor is electrical impedance tomography (EIT)-based sensing skins, which use electrically conductive coatings applied on the object’s surface to monitor physical or chemical phenomena on the surface. In this article, we propose a sensing skin with two electrically coupled layers separated by an insulator. Based on electrical measurements, the spatial distribution of the electrical coupling between the layers is estimated. This coupling is sensitive to both the pressure distribution on the surface and water entering between the layers through a leak. We present simulations and experimental studies to evaluate the feasibility of the proposed method for pressure sensing and leak detection. The results support the feasibility of the proposed method for both of these applications.

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