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• W4367672565 abstract "Soft and stretchable force sensors are widely used for health monitoring, robotics, prosthetics, and other applications. Soft force sensors with the capability of measuring both normal and shear force could offer even greater functionality and provide more information, particularly in the field of biomechanics. In this work, a new solid-state force sensor is proposed that can measure both normal and shear forces at the same time. The soft and stretchable sensor was fabricated using an ionic liquid (IL)/polymer network. Two separate IL-based polymer membranes were used to detect normal and shear forces. Sensor architecture and electrical wiring for normal, shear, and combined sensing were developed, and various material compositions for different sensor layers were investigated to find the combination that could achieve the optimum sensor performance. A basic material formulation for carbon nanotube-based electrodes, the IL/polymer network, and polymeric insulation layers was proposed. To configure a combined (normal and shear) sensor, separate sensors for normal and shear deformations were first designed and investigated. Later, a combined sensor was fabricated using a mold via screen printing, photocuring, and thermal curing. The combined sensor was evaluated under different force conditions. The results show that the sensor can reliably measure normal and shear forces. Moreover, the findings demonstrate a way to successfully modulate the sensitivity for normal and shear sensing by varying the material composition or geometric configuration, which provides flexibility for application-specific designs." @default.
• W4367672565 created "2023-05-03" @default.
• W4367672565 creator A5025822215 @default.
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• W4367672565 date "2023-05-02" @default.
• W4367672565 modified "2023-10-16" @default.
• W4367672565 title "An Ionic Liquid-Based Stretchable Sensor for Measuring Normal and Shear Force" @default.
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• W4367672565 doi "https://doi.org/10.1089/soro.2022.0207" @default.
• W4367672565 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37130312" @default.
• W4367672565 hasPublicationYear "2023" @default.
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