Abstract Low utilization of solar energy remains a challenge that limits photocatalytic efficiency. To address this issue, this work proposes a bionic solar photocatalytic reactor (BSPR) for efficient selective oxidation of aromatic alcohols. A biomimetic phototropic hydrogel is prepared by coupling chlorine‐doped polypyrrole (Cl‐PPy) and poly( N ‐isopropyl acrylamide) (PNIPAm) to maximize light‐harvesting efficiency automatically, allowing the BSPR to maintain high catalytic levels throughout the day. Molecular dynamics simulations are used to unveil the understanding of the fast photoresponsive behavior of Cl‐PPy/PNIPAm from a molecular level, while COMSOL simulations are conducted to follow the macroscopically phototropic mechanism of BSPR. Attributing to the existence of PdS/S vacancies riched ZnIn 2 S 4 nanocomposite in the top flower‐shaped hydrogel, the BSPR displays a special function for efficiently photocatalytic oxidation of aromatic alcohols under solar illumination (yield of 4‐methoxybenzaldehyde: 479.5 µmol g −1 h −1 ; selectivity: 68.8%). Two possible reaction pathways are identified as follows: photogenerated holes can attract aromatic alcohols directly and generate aromatic aldehydes; photoexcited electrons oxidize O 2 to ·O 2 − can also react with the adsorbed aromatic alcohol. This study presents a promising paradigm that explores opportunities for enhanced utilization of light energy, offering a novel approach to maximize its efficiency in practical applications.
The swing shaft of five-axis CNC machine tool is usually used for fixed angle machining of products. The reliability of the position state of the swing shaft directly affects the quality of product processing. In this paper, aiming at the problem that the servo position changes in the abnormal condition during the fixed swing Angle machining of the B axis of a five-axis CNC machine tool affect the machining quality of the product, a set of methods and devices to solve the above problems are proposed and designed from the aspects of mechanical, electrical and hydraulic system analysis, and realize the maintenance of the angle position of the product under the abnormal state of the fixed swing angle machining of the machine tool. So that, the product processing quality is guaranteed.
Inspired by natural organisms, a four-dimensional (4D)-printed starfish-like bionic soft robot (SBSR) was effectively prepared by integrating three-dimensional (3D) printing with smart hydrogels. The body of the SBSR is composed of a reduced graphene oxide-poly(N-isopropylacrylamide) hydrogel (rGO-PNH) with superior mechanical properties. In addition, the enhanced photothermal conversion effect was obtained by the reduction of graphene oxide nanosheets after the 3D printing process. Cylindrical actuators prepared using rGO-PNH exhibited bending and orientation toward the light source within 20 s of exposure to near-infrared light, thus demonstrating the rapid photoresponsivity of rGO-PNH. Furthermore, the 4D-printed SBSR showcased effective grasping, lifting, and releasing of objects by mimicking the predatory behavior of starfish. This study would provide insights into the development of responsive materials in 4D printable bionic soft robots and their applications in areas such as biomimetic devices and artificial muscles.
Abstract Creating bionic intelligent robotic systems that emulate human‐like skin perception presents a considerable scientific challenge. This study introduces a multifunctional bionic electronic skin (e‐skin) made from polyacrylic acid ionogel (PAIG), designed to detect human motion signals and transmit them to robotic systems for recognition and classification. The PAIG is synthesized using a suspension of liquid metal and graphene oxide nanosheets as initiators and cross‐linkers. The resulting PAIGs demonstrate excellent mechanical properties, resistance to freezing and drying, and self‐healing capabilities. Functionally, the PAIG effectively captures human motion signals through electromechanical sensing. Furthermore, a bionic intelligent sorting robot system is developed by integrating the PAIG‐based e‐skin with a robotic manipulator. This system leverages its ability to detect frictional electrical signals, enabling precise identification and sorting of materials. The innovations presented in this study hold significant potential for applications in artificial intelligence, rehabilitation training, and intelligent classification systems.
'/%3e%3cuse xlink:href='%23a' transform='rotate(23.036 .093 25.536)'/%3e%3cuse xlink:href='%23a' transform='rotate(45.87 1.273 16.18)'/%3e%3cuse xlink:href='%23a' transform='rotate(69.945 .996 12.078)'/%3e%3cuse xlink:href='%23a' transform='rotate(20.66 -19.689 31.932)'/%3e%3c/svg%3e)
'/%3e%3cuse xlink:href='%23a' transform='rotate(144 450 300)'/%3e%3cuse xlink:href='%23a' transform='rotate(216 450 300)'/%3e%3cuse xlink:href='%23a' transform='rotate(288 450 300)'/%3e%3c/svg%3e)