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http://dx.doi.org/10.14695/KJSOS.2021.24.2.49

Analysis of the Necessary Mechanical Properties of Embroiderable Conductive Yarns for Measuring Pressure and Stretch Textile Sensor Electrodes  

Kim, Sang-Un (숭실대학교 스마트웨어러블공학과)
Choi, Seung-O (숭실대학교 유기신소재파이버공학과)
Kim, Joo-Yong (숭실대학교 유기신소재파이버공학과)
Publication Information
Science of Emotion and Sensibility / v.24, no.2, 2021 , pp. 49-56 More about this Journal
Abstract
In this study, we investigated the necessary mechanical properties of conductive multifilament yarns for fabricating the electrodes of biosignal measurement pressure and stretch textile sensors using embroidery. When electrodes and circuits for smart wearable products are produced through the embroidery process using conductive multifilament yarns, unnecessary material loss is minimized, and complex electrode shapes or circuit designs can be produced without additional processes using a computer embroidering machine. However, because ordinary missionary threads cannot overcome the stress in the embroidery process and yarn cutting occurs, herein, we analyzed the S-S curve, thickness, and twist structure, which are three types of silver-coated multifilament yarns, and measured the stress in the thread of the embroidery simultaneously. Thus, the required mechanical properties of the yarns in the embroidery process were analyzed. In the actual sample production, cutting occurred in silver-coated multifilament rather than silver-coated polyamide/polyester, which showed the lowest S-S curve. In the embroidery process, the twist was unwound through repetitive vertical movement. Further, we fabricated a piezoresistive pressure/tension sensor to measure gauge factor, which is an index for measuring biological signals. We confirmed that the sensor can be applied to the fabrication of embroidery electrodes, which is an important process in the mass production of smart wearable products.
Keywords
Physiological Signal; Embroidery Conductive Yarn; Pressure Textile Sensor; Strain Textile Sensor; Textile Sensor Electrode; Smart Healthcare Wearable;
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