Flexible textile-based supercapacitors (SCs) have attracted a lot of attention, with the artificial intelligence technology and smart wearable electronic textiles developing rapidly. However, energy-storage performance of common textile-based SCs is always restricted with the low-dimensional substrates (i.e., one-dimensional fibers or two-dimensional fabrics), and hence flexible textile-based SCs with multifarious hierarchical substrates are highly desired. Herein, a multidimensional hierarchical fabric electrode model with a bionic fiber microarray structure has been designed, inspired by the “grasp effect” of the sophisticated arrangement structures of hedgehog spines, and the bionic assembled SCs exhibit an enhanced specific areal capacitance (245.5 mF/cm2 at 1 mV/cm2), compared with the planar fabric-based SCs (41.6 mF/cm2), and a high energy density (21.82 μWh/cm2 at 0.4 mW/cm2). Besides, the SCs also show a stable capacitance ratio of 83.9% after 10 000 cycles and a mere capacitance loss under different bending states. As a proof of concept, an all-fabric smart electronic switch is fabricated with self-power and wearable properties, along with some other trial applications. Such a hierarchical fabric with a bionic fiber microarray structure is believed to enhance the performance of the assembled SCs. We foresee that the multidimensional hierarchical fabric would bring more promising prospects for flexible textile-based energy-storage systems and be used in smart wearable textile applications.

Intelligent textiles require flexible power sources that can be seemingly integrated with a variety of electronic devices to realize new smart wearable applications. However, current research mainly focuses on the design of the textile structures, often ignoring the importance of seamless configuration. This approach results in an uncomfortable experience when the device is worn and makes it difficult to smoothly connect each monofunctional device. The view of the yarn structure, a multifunctional yarn-based wearable system is fabricated through combining seamless strain sensors and energy storage devices. Yarn deposited with poly(3,4-ethylenedioxythiophene) (PEDOT) via in situ polymerization is then prepared as a highly conductive yarn sensor and a flexible yarn-shaped supercapacitor (SC). All-yarn-based SCs are incorporated with strain sensors within self-powered flexible devices designed to detect human motion. Multiple textile structures can be woven into garments including power supply to sensors, with promising application potential across wearable electronics and smart clothing.

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Purpose The purpose of this paper is to investigate the effect of char on the flame retardancy of fabrics by a cone calorimeter, which is an important factor to compare the flame retardancy of different fabrics. Design/methodology/approach Cone calorimeter measurements were carried out in a Fire Testing Technology (UK) apparatus at the heat fluxes of 50 and 75 kW/m2. Fabrics with one and three layers were employed, with the name of cotton1, cotton3, FR cotton1, FR cotton3, PMIA1 and PMIA3. The dimension of the fabric was 100×100 mm2. A cross-steel grid was used to prevent the fabrics from curling during burning. The distance between the bottom of the cone heater and the top of the sample was 25 mm. Findings This work was generously supported by National Key R&D Program of China (Project No. 2017YFB0309000), Natural Science Foundation of Shandong Province of China (Project No. ZR2019BEM026), Natural Science Foundation of China (Project No. 51803101) and China postdoctoral science foundation funded project (Project No. 2018M632619). Originality/value The present research provides insight into the effect of the char formation on the flame retardancy of the fabrics, and a method to comprehensively investigate the char influence in the flame retardancy of the fabrics by a cone calorimeter is proposed.