Smart Textiles

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 54996 Experts worldwide ranked by ideXlab platform

Shuohung Chang - One of the best experts on this subject based on the ideXlab platform.

  • parametric design of yarn based piezoresistive sensors for Smart Textiles
    Sensors and Actuators A-physical, 2008
    Co-Authors: Chingtang Huang, Chienfa Tang, Shuohung Chang
    Abstract:

    In our previous paper, the yarn-based sensors are shown capable of measuring the respiration signals. In comparing with fabric-based sensors, the yarn-based sensor is more comfortable in wearing, and easily fabricated by conventional textile process. In this paper, we aim at the analysis of the design parameters of the yarn-based sensors that were fabricated by double wrapping the polyester, elastic, and piezoresistive fibers. The performances of the yarn-based sensor under different compositions have been experimentally evaluated. It is shown that the soft-core yarn sensors achieve high gain factors with low linearity. The sensors consisting of high-density piezoresistive fibers achieve high linearity with low gain factor. It was also shown that the nonlinearity of the sensors that is mainly due to the irregular characteristics of the yarn structure exits at the low strain region. As at the high strain region, the high linearity of the yarn-based sensors is found regardless of material compositions. To further reduce irregular characteristics of the yarn structure, to increase the preload and to choose the stiffer core yarn and the harder piezoresistive fibers are suggested.

Chingtang Huang - One of the best experts on this subject based on the ideXlab platform.

  • parametric design of yarn based piezoresistive sensors for Smart Textiles
    Sensors and Actuators A-physical, 2008
    Co-Authors: Chingtang Huang, Chienfa Tang, Shuohung Chang
    Abstract:

    In our previous paper, the yarn-based sensors are shown capable of measuring the respiration signals. In comparing with fabric-based sensors, the yarn-based sensor is more comfortable in wearing, and easily fabricated by conventional textile process. In this paper, we aim at the analysis of the design parameters of the yarn-based sensors that were fabricated by double wrapping the polyester, elastic, and piezoresistive fibers. The performances of the yarn-based sensor under different compositions have been experimentally evaluated. It is shown that the soft-core yarn sensors achieve high gain factors with low linearity. The sensors consisting of high-density piezoresistive fibers achieve high linearity with low gain factor. It was also shown that the nonlinearity of the sensors that is mainly due to the irregular characteristics of the yarn structure exits at the low strain region. As at the high strain region, the high linearity of the yarn-based sensors is found regardless of material compositions. To further reduce irregular characteristics of the yarn structure, to increase the preload and to choose the stiffer core yarn and the harder piezoresistive fibers are suggested.

Aleksander Wosniok - One of the best experts on this subject based on the ideXlab platform.

Chienfa Tang - One of the best experts on this subject based on the ideXlab platform.

  • parametric design of yarn based piezoresistive sensors for Smart Textiles
    Sensors and Actuators A-physical, 2008
    Co-Authors: Chingtang Huang, Chienfa Tang, Shuohung Chang
    Abstract:

    In our previous paper, the yarn-based sensors are shown capable of measuring the respiration signals. In comparing with fabric-based sensors, the yarn-based sensor is more comfortable in wearing, and easily fabricated by conventional textile process. In this paper, we aim at the analysis of the design parameters of the yarn-based sensors that were fabricated by double wrapping the polyester, elastic, and piezoresistive fibers. The performances of the yarn-based sensor under different compositions have been experimentally evaluated. It is shown that the soft-core yarn sensors achieve high gain factors with low linearity. The sensors consisting of high-density piezoresistive fibers achieve high linearity with low gain factor. It was also shown that the nonlinearity of the sensors that is mainly due to the irregular characteristics of the yarn structure exits at the low strain region. As at the high strain region, the high linearity of the yarn-based sensors is found regardless of material compositions. To further reduce irregular characteristics of the yarn structure, to increase the preload and to choose the stiffer core yarn and the harder piezoresistive fibers are suggested.

King Wai Chiu Lai - One of the best experts on this subject based on the ideXlab platform.

  • an ultraflexible polyurethane yarn based wearable strain sensor with a polydimethylsiloxane infiltrated multilayer sheath for Smart Textiles
    Nanoscale, 2020
    Co-Authors: Keng Hua Koh, Musthafa Farha, King Wai Chiu Lai
    Abstract:

    Waterproof fiber-based strain sensors with a high gauge factor and outstanding stability are essential for Smart Textiles, wearable devices and biomedical electronics. In this work, we demonstrate a highly flexible, stretchable, sensitive, and waterproof core-sheath structure strain sensor with a relatively wide strain-sensing range fabricated by a simple approach. Such a core-sheath structure is composed of a superelastic core material polyurethane (PU) yarn; a highly conductive multilayer sheath material, namely, graphene nanosheets/thin gold film/graphene nanosheets (GNSs/Au/GNSs); and a thin polydimethylsiloxane (PDMS) wrapping layer. The combination of the PU yarn, multilayer GNSs/Au/GNSs, and PDMS wrapping layer enables the strain sensor to achieve high flexibility and stretchability, high sensitivity, broad strain-sensing range, and good waterproof property simultaneously due to the infiltration of PDMS into the multilayer during stretching. Particularly, the yarn strain sensor exhibits a high gauge factor (GF: 661.59), outstanding stability with an applied strain of 50% for approximately 10 000 stretch/release cycles, and superior water resistance. Moreover, it can be readily integrated into Textiles, including medical textile bandages and textile gloves, for monitoring various human motions (e.g., phonation, pulse, finger bending, and walking) and effectively control a hand robot. Therefore, strain sensors show considerable potential in textile, wearable, and biomedical electronics for healthcare-related applications, such as disease diagnosis, preventive healthcare, and rehabilitation care, and robot controlling-related applications (e.g., controlling a hand robot to catch some objects).