Fiber and textile electronics provide a focus for a new generation of wearable electronics due to their unique lightness and flexibility. However, fabricating knittable fibers from conductive materials with high tensile and transparent properties remains a challenge, especially for applicability in harsh environments. Here, we report a simple photopolymerization approach for the rapid preparation of a new type of a transparent conductive polymer fiber, poly(polymerizable deep eutectic solvent (PDES)) fiber, which exhibits excellent stability at high/low temperature, in organic solvents, especially in dry environments, and overcomes the volatility and freezability of traditional gel materials. A poly(PDES) fiber possesses outstanding mechanical and sensing properties, including negligible hysteresis and creep, fast resilience after a long stretch (10 min), and signal stability during high-frequency cyclic stretching (1 Hz, 10 000 cycles). In addition, the poly(PDES) fibers are knitted into a plain-structured sensor on textile with breathability and high tolerance to damage, enabling stable and accurate monitoring of human stretching, bending, and rotation motions. Furthermore, its dry-cleaning resistance guarantees the feasibility of long-term monitoring, with the electrical signal remaining stable after five dry-cleaning cycles. These promising features of poly(PDES) fibers will promote potential applications in the fields of human movement monitoring, intelligent fibers, and soft robotics.
Full-color three-dimensional (3D) printing technology is a powerful process to manufacture intelligent customized colorful objects with improved surface qualities; however, poor surface color optimization methods are the main impeding factors for its commercialization. As such, the paper explored the correlation between microstructure and color reproduction, then an assessment and prediction method of color optimization based on microscopic image analysis was proposed. The experimental models were divided into 24-color plates and 4-color cubes printed by ProJet 860 3D printer, then impregnated according to preset parameters, at last measured by a spectrophotometer and observed using both a digital microscope and a scanning electron microscope. The results revealed that the samples manifested higher saturation and smaller chromatic aberration ([Formula: see text]) after postprocessing. Moreover, the brightness of the same color surface increased with the increasing soaked surface roughness. Further, reduction in surface roughness, impregnation into surface pores, and enhancement of coating transparency effectively improved the accuracy of color reproduction, which could be verified by the measured values. Finally, the chromatic aberration caused by positioning errors on different faces of the samples was optimized, and the value of [Formula: see text] for a black cube was reduced from 8.12 to 0.82, which is undetectable to human eyes.
Fiber-optic sensors are attracting attention because of their high sensitivity, fast response, large capacity-transmission, and anti-electromagnetic interference advantages. Nevertheless, rigid optical fibers are inevitably damaged or even fractured in applications involving large tensile or bending strains (e.g., human body monitoring, soft robotics, and biomedical devices) and the position of the fracture is difficult to locate and repair. Therefore, optically self-healing fiberoptic sensors are highly desirable. Here, we report a design strategy for increasing the polymer segmental mobility and reversible non-covalent bond density of poly(polymerizable deep eutectic solvent) (PDES) to continuously fabricate a core−cladding poly(PDES) optical fiber (CPOF) with significant optical, electrical, and mechanical self-healing abilities. It also possesses low optical propagation attenuation (0.31 dB cm −1 ), wide temperature tolerance (−77−168 °C), and excellent biocompatibility. Moreover, CPOFs have been validated for gesture recognition, subcutaneous self-healing, and pressure−temperature detection, owing to their ability to transmit dual optical-electrical signals in real time, and are promising for various applications in industrial and technological fields.
The powder-based 3DP (3D printing) technique has developed rapidly in creative and customized industries on account of it’s uniqueness, such as low energy consumption, cheap consumables, and non-existent exhaust emissions. Moreover, it could actualize full-color 3D printing. However, the printing time and size are both in need of upgrade using ready printers, especially for large-size 3D printing objects. Given the above issues, the effects of height and monolayer area on printing time were explored and the quantitative relationship was given in this paper conducted on the specimens with a certain gradient. On this basis, an XYX rotation method was proposed to minimize the printing time. The mechanical tests were conducted with three impregnation types as well as seven printing angles and combined with the characterization of surface structure based on the scanning electron microscope (SEM) digital images to explore the optimum parameters of cutting-bonding frame (CBF) applied to powder-based 3D printing. Then, four adhesives were compared in terms of the width of bonded gap and chromatic aberration. The results revealed that ColorBond impregnated specimens showed excellent mechanical properties which reached maximum when printed at 45° to Z axis, and α-cyanoacrylate is the most suitable adhesive to bond full-color powder-based models. Finally, an operation technological process was summarized to realize the rapid manufacturing of large-size full-color 3D printed objects.
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